All Publications
2024
Leveraging the potential of multi-layer networks for subgroup discovery. 2024.
Heterogeneity in response to treatment across tinnitus phenotypes. 2024.
Entity-centric machine learning: leveraging entity neighborhoods for personalized predictors. 2024.
Parsimonious predictors for medical decision support: Minimizing the set of questionnaires used for tinnitus outcome prediction. Expert Systems with Applications, (239):122336, Elsevier BV, April 2024. URL
Predicting User Engagement in mHealth Apps with Neighborhood-based Approaches. 2024 IEEE 37th International Symposium on Computer-Based Medical Systems (CBMS), 391-397, IEEE, June 2024.
2023
XAI4EEG: spectral and spatio-temporal explanation of deep learning-based seizure detection in EEG time series. Neural Computing and Applications, (35)14:10051--10068, Springer, 2023.
Editorial: Smart mobile data collection in the context of neuroscience, volume II. Frontiers in Neuroscience, (17)2023. URL
WISHFUL - Website Extraction of Institutional Sources with Heterogeneous Factors and User-Driven Linkage. Information Integration and Web Intelligence: 25th International Conference, IiWAS 2023, Denpasar, Bali, Indonesia, December 4–6, 2023, Proceedings, 20–26, Springer-Verlag, Berlin, Heidelberg, 2023. URL
A cost-based multi-layer network approach for the discovery of patient phenotypes. International Journal of Data Science and Analytics, Springer Science and Business Media LLC, July 2023. URL
Challenges for Active Feature Acquisition and Imputation on Data Streams. Proceedings of the Workshop on Interactive Adaptive Learningco-located with European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2023), 2023. URL
The statistical analysis plan for the unification of treatments and interventions for tinnitus patients randomized clinical trial (UNITI-RCT). Trials, (24)1:472, Springer, 2023.
Human uncertainty in interaction with a machine: establishing a reference dataset. 60th Ilmenau Scientific Colloquium, 2023.
Productive teaming under uncertainty: when a human and a machine classify objects together. 2023 IEEE International Conference on Advanced Robotics and Its Social Impacts (ARSO), 9-14, 2023.
Prediction meets time series with gaps: User clusters with specific usage behavior patterns. Artificial Intelligence in Medicine, 102575, Elsevier BV, May 2023. URL
Joining Imputation and Active Feature Acquisition for Cost Saving on Data Streams with Missing Features. In Albert Bifet, Ana Carolina Lorena, Rita P. Ribeiro, João Gama, and Pedro H. Abreu (Eds.), Discovery Science, 308-322, Springer Nature Switzerland, 2023.
Inferring Salient Motifs during Learning Experiments. 2023 IEEE 36th International Symposium on Computer-Based Medical Systems (CBMS), 245-251, June 2023. URL
2022
Expect the gap: A recommender approach to estimate the absenteeism of self-monitoring mHealth app users. 2022 IEEE 9th International Conference on Data Science and Advanced Analytics (DSAA), 1-10, October 2022. URL
Classification of cardiac cohorts based on morphological and hemodynamic features derived from 4D PC-MRI data. Proc. of Computer-Based Medical Systems (CBMS), 416-421, 2022. URL
When Can I Expect the mHealth User to Return? Prediction Meets Time Series with Gaps. In Martin Michalowski, Syed Sibte Raza Abidi, and Samina Abidi (Eds.), Artificial Intelligence in Medicine, 310--320, Springer International Publishing, 2022.
Prediction of declining engagement to self-monitoring apps on the example of tinnitus mHealth data. 2022 IEEE 35th International Symposium on Computer-Based Medical Systems (CBMS), 228-233, July 2022. URL
Assessment of Immune Status Using Inexpensive Cytokines: A Literature Review and Learning Approaches. In Dr. Fernando Benito-Lopez (Eds.), Sensors, (22)24:9785, MDPI AG, December 2022. URL
Transferability of a Battery Cell End-of-Life Prediction Model Using Survival Analysis. Energies, (15)82022. URL
Virtual Reality for Medical Annotation Tasks--A Systematic Review. Frontiers in Virtual Reality, (3)Frontiers, 2022. URL
Data-Driven Prediction of Athletes' Performance based on their Social Media Presence. In Pascal Poncelet, and Dino Ienco (Eds.), Discovery Science, 197-211, Springer Nature Switzerland, 2022. URL
Dimensions of Tinnitus-Related Distress. Brain Sciences, (12)22022. URL
Juxtaposing Medical Centers Using Different Questionnaires Through Score Predictors. In Andreas K. Maier (Eds.), Frontiers in Neuroscience, (16)Frontiers Media SA, March 2022. URL
Reducing Missingness in a Stream through Cost-Aware Active Feature Acquisition. 2022 IEEE 9th International Conference on Data Science and Advanced Analytics (DSAA), November 2022.
Discovering Instantaneous Granger Causalities in Non-stationary Categorical Time Series Data. International Conference on Artificial Intelligence in Medicine, 200--209, 2022.
2021
A Framework for Authorial Clustering of Shorter Texts in Latent Semantic Spaces. In Pedro Henriques Abreu, Pedro Pereira Rodrigues, Alberto Fernández, and João Gama (Eds.), Advances in Intelligent Data Analysis XIX, 301--312, Springer International Publishing, Cham, 2021. URL
Beyond Adaptation: Understanding Distributional Changes (Dagstuhl Seminar 20372). In Georg Krempl, Vera Hofer, Geoffrey Webb, and Eyke Hüllermeier (Eds.), Dagstuhl Reports, (10)4:1--36, Schloss Dagstuhl -- Leibniz-Zentrum für Informatik, Dagstuhl, Germany, 2021. URL
User-centric vs whole-stream learning for EMA prediction. 2021 IEEE 34th International Symposium on Computer-Based Medical Systems (CBMS), 307-312, June 2021.
LAC: Latent authorial clustering of shorter texts. Software Impacts, 100119, 2021. URL
Discovery of Patient Phenotypes through Multi-layer Network Analysis on the Example of Tinnitus. 2021 IEEE 8th International Conference on Data Science and Advanced Analytics (DSAA), 1--10, IEEE, 2021. URL
Towards a unification of treatments and interventions for tinnitus patients: The EU research and innovation action UNITI. Progress in brain research, (260):441—451, 2021. URL
Assessing the difficulty of annotating medical data in crowdworking with help of experiments. PLOS ONE, (16)7:1-26, Public Library of Science, July 2021. URL
Love thy Neighbours: A Framework for Error-Driven Discovery of Useful Neighbourhoods for One-Step Forecasts on EMA data. 2021 IEEE 34th International Symposium on Computer-Based Medical Systems (CBMS), 295-300, June 2021.
Intelligent Assistance for Expert-Driven Subpopulation Discovery in High-Dimensional Timestamped Medical Data. 2021. URL
GUCCI - Guided Cardiac Cohort Investigation of Blood Flow Data. IEEE Transactions on Visualization and Computer Graphics, 1-1, 2021. URL
Potential of Point-of-Care and At-Home Assessment of Immune Status via Rapid Cytokine Detection and Questionnaire-Based Anamnesis. Sensors, (21)15:4960, MDPI AG, July 2021. URL
Circadian Conditional Granger Causalities on Ecological Momentary Assessment Data from an mHealth App. 2021 IEEE 34th International Symposium on Computer-Based Medical Systems (CBMS), 354-359, 2021.
Interactive System for Similarity-Based Inspection and Assessment of the Well-Being of mHealth Users. Entropy, (23)122021. URL
Juxtaposing 5G Coronavirus Tweets with General Coronavirus Tweets During the Early Months of Coronavirus Outbreak. 2021 IEEE 34th International Symposium on Computer-Based Medical Systems (CBMS), 597-602, 2021. URL
Editorial: Smart Mobile Data Collection in the Context of Neuroscience. Frontiers in Neuroscience, (15):618, 2021. URL
2020
Assessing the Difficulty of Labelling an Instance in Crowdworking.. 2nd Workshop on Evaluation and Experimental Design in Data Mining and Machine Learning@ ECML PKDD 2020, 2020.
Visual Analysis of Missing Values in Longitudinal Cohort Study Data. Computer Graphics Forum, (39)1:63-75, 2020. URL
Multivariate Time Series as Images: Imputation Using Convolutional Denoising Autoencoder. In Michael R. Berthold, Ad Feelders, and Georg Krempl (Eds.), Advances in Intelligent Data Analysis XVIII, 1--13, Springer International Publishing, Cham, 2020. URL
A Framework for Authorial Clustering of Shorter Texts in Latent Semantic Spaces. arXiv preprint arXiv:2011.15038, 2020.
Phenotyping chronic tinnitus patients using self-report questionnaire data: cluster analysis and visual comparison. Scientific Reports, (10)1:16411, 2020. URL
Resource management for model learning at entity level. Annals of Telecommunications, (75)9-10:549--561, Springer Science and Business Media LLC, August 2020. URL
Gender-Specific Differences in Patients With Chronic Tinnitus—Baseline Characteristics and Treatment Effects. Frontiers in Neuroscience, (14):487, 2020. URL
Resource management for model learning at entity level. Annals of Telecommunications, Aug 29, 2020. URL
The Effect of Non-Personalised Tips on the Continued Use of Self-Monitoring mHealth Applications. Brain Sciences, (10)122020. URL
Combining visual analytics and case-based reasoning for rupture risk assessment of intracranial aneurysms. International Journal of Computer Assisted Radiology and Surgery, (15)9:1525--1535, 2020. URL
Cardiac Cohort Classification based on Morphologic and Hemodynamic Parameters extracted from 4D PC-MRI Data. arXiv preprint arXiv:2010.05612, 2020.
Tinnitus-related distress after multimodal treatment can be characterized using a key subset of baseline variables. PLOS ONE, (15)1:1-18, Public Library of Science, January 2020. URL
Evaluating Usability Aspects of a Mixed Reality Solution for Immersive Analytics in Industry 4.0 Scenarios. JoVE (Journal of Visualized Experiments), 164:e61349, 2020.
Active feature acquisition on data streams under feature drift.. Ann. des Télécommunications, (75)9-10:597-611, 2020. URL
Understanding adherence to the recording of ecological momentary assessments in the example of tinnitus monitoring. Scientific Reports, (10)1Springer Science and Business Media LLC, December 2020. URL
Predicting the Health Condition of mHealth App Users with Large Differences in the Number of Recorded Observations - Where to Learn from?. In Annalisa Appice, Grigorios Tsoumakas, Yannis Manolopoulos, and Stan Matwin (Eds.), DS, (12323):659-673, Springer, 2020. URL
Development and internal validation of a depression severity prediction model for tinnitus patients based on questionnaire responses and socio-demographics. Scientific Reports, (10)1:4664, 2020. URL
Plantar temperatures in stance position: A comparative study with healthy volunteers and diabetes patients diagnosed with sensoric neuropathy. EBioMedicine, (54):102712, 2020. URL
Active feature acquisition on data streams under feature drift. Annals of Telecommunications, Jul 8, 2020. URL
Machine learning identifies the dynamics and influencing factors in an auditory category learning experiment. Scientific reports, (10)1:1--12, Nature Publishing Group, 2020.
2019
Active Feature Acquistion for Opinion Stream Classification under Drift. Proceedings of the Workshop on Interactive Adaptive Learning (IAL 2019), 108--111, 2019. URL
Editorial: Towards an Understanding of Tinnitus Heterogeneity. Frontiers in aging neuroscience, (11)2019.
Temporal Density Extrapolation using a Dynamic Basis Approach.. In K. Borgwardt, Po-Ling Loh, Evimaria Terzi, and Antti Ukkonen (Eds.), Data Mining and Knowledge Discovery, (Special Issue of the ECML/PKDD 2019 Journal Track)2019. URL
Ecological Momentary Assessment based Differences between Android and iOS Users of the TrackYourHearing mHealth Crowdsensing Platform. 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2019.
Introduction to the special issue on social data analytics in medicine and healthcare. International Journal of Data Science and Analytics, (8)4:325--326, Nov 1, 2019. URL
Applicability of Immersive Analytics in Mixed Reality: Usability Study. IEEE Access, (7)2019.
Prospective crowdsensing versus retrospective ratings of tinnitus variability and tinnitus--stress associations based on the TrackYourTinnitus mobile platform. International Journal of Data Science and Analytics, (8)4:327--338, Nov 1, 2019. URL
Visual Analytics for Epidemiological Cohort Studies. Proc. of Eurographics Medical Price, 2019. URL
Exploiting Entity Information for Stream Classification over a Stream of Reviews. Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing, 564-573, ACM, 2019. URL
Assessing the reliability of crowdsourced labels via Twitter. Proceedings of the Conference on "Lernen, Wissen, Daten, Analysen", 2019. URL
Entity-level stream classification: exploiting entity similarity to label the future observations referring to an entity. International Journal of Data Science and Analytics, 2019. URL
2018
Transformation of Temperature Timeseries into Features that Characterize Patients with Diabetic Autonomic Nerve Disorder. Proc. of the 31th IEEE Int. Symposium on Computer-Based Medical Systems (CBMS18), 65-70, 2018.
Predicting worker disagreement for more effective crowd labeling. 2018 IEEE 5th International Conference on Data Science andAdvanced Analytics (DSAA), 179--188, 2018.
Patient Empowerment Through Summarization of Discussion Threads on Treatments in a Patient Self-help Forum. In Nicos Maglaveras, Ioanna Chouvarda, and Paulo de Carvalho (Eds.), Precision Medicine Powered by pHealth and Connected Health: ICBHI 2017, Thessaloniki, Greece, 18-21 November 2017, 229-233, Springer Singapore, 2018. URL
Studying the Potential of Multi-Target Classification on Patient Screening Data to Predict Dropout Cases. IEEE 31st International Symposium on Computer-Based Medical Systems (CBMS), 239 -243, 2018.
Learning under Feature Drifts in Textual Streams. Proceedings of the 27th ACM International Conference on Information and Knowledge Management - CIKM '18, 527 -536, 2018.
Predicting Document Polarities on a Stream without Reading their Contents. Proceedings of the Symposium on Applied Computing (SAC), 2018.
A Framework for Expert-Driven Subpopulation Discovery and Evaluation Using Subspace Clustering for Epidemiological Data. Expert Systems with Applications, (113):147 - 160, 2018. URL
Rupture Status Classification of Intracranial Aneurysms Using Morphological Parameters. Proc. of the 31th IEEE Int. Symposium on Computer-Based Medical Systems (CBMS18), 48-53, 2018.
Finding Tinnitus Patients with Similar Evolution of their Ecological Momentary Assessments. Proc. of the 31th IEEE Int. Symposium on Computer-Based Medical Systems (CBMS18), 112-117, 2018.
Review of Smart Services for Tinnitus Self-Help, Diagnostics and Treatments. Frontiers in neuroscience, (12)2018.
Personalized recommender systems for product-line configuration processes. Computer Languages, Systems & Structures, 2018. URL
Differences between Android and iOS Users of the TrackYourTinnitus Mobile Crowdsensing mHealth Platform. IEEE 31st International Symposium on Computer-Based Medical Systems (CBMS), 411 -416, 2018.
Studying the Potential of Multi-Target Classification on Patient Screening Data to Predict Dropout Cases. Proc. of the 31th IEEE Int. Symposium on Computer-Based Medical Systems (CBMS18), 239-243, 2018.
Prospective crowdsensing versus retrospective ratings of tinnitus variability and tinnitus–stress associations based on the TrackYourTinnitus mobile platform. International Journal of Data Science and Analytics, (8):327 -338, 2018.
Building a Bayesian Network to Understand the Interplay of Variables in an Epidemiological Population-Based Study. Proc. of the 31th IEEE Int. Symposium on Computer-Based Medical Systems (CBMS18), 88-93, 2018.
How do annotators label short texts? Toward understanding the temporal dynamics of tweet labeling. Information Sciences, (457–458):29-47, 2018.
2017
Subpopulation Discovery and Validation in Epidemiological Data. In Michael Sedlmair, and Christian Tominski (Eds.), EuroVis Workshop on Visual Analytics (EuroVA), The Eurographics Association, 2017.
Combining Subgroup Discovery and Clustering to Identify Diverse Subpopulations in Cohort Study Data. Proc. of the 30th IEEE Int. Symposium on Computer-Based Medical Systems (CBMS17), 582-587, 2017.
Mobile Crowdsensing for the Juxtaposition of Realtime Assessments and Retrospective Reporting for Neuropsychiatric Symptoms. Proc. of IEEE Symposium on Computer-Based Medical Systems (CBMS 2017), Thessaloniki, Greece, June 2017.
Classification of DCE-MRI Data for Breast Cancer Diagnosis Combining Contrast Agent Dynamics and Texture Features. Bildverarbeitung für die Medizin (BVM), 325-330, Springer Verlag, Heidelberg, 2017.
Forgetting techniques for stream-based matrix factorization in recommender systems. Knowledge and Information Systems, Aug 4, 2017. URL
Scalable Online Top-N Recommender Systems. In Derek Bridge, and Heiner Stuckenschmidt (Eds.), E-Commerce and Web Technologies: 17th International Conference, EC-Web 2016, Porto, Portugal, September 5-8, 2016, Revised Selected Papers, 3--20, Springer International Publishing, 2017. URL
Introduction to the special issue dedicated to the Journal Track of ECML PKDD 2017. Data Mining and Knowledge Discovery, (31)5:1155--1156, Springer, 2017.
Visual Analytics of Missing Data in Epidemiological Cohort Studies. Eurographics Workshop on Visual Computing for Biology and Medicine (VCBM), 43-52, 2017.
Stream-based semi-supervised learning for recommender systems. Machine Learning, 1--28, 2017. URL
Outpatient Tinnitus Clinic, Self-Help Web Platform, or Mobile Application to Recruit Tinnitus Study Samples?. Frontiers in Aging Neuroscience, (9):113, 2017. URL
Does Tinnitus Depend on Time-of-Day? An Ecological Momentary Assessment Study with the ``TrackYourTinnitus'' Application. Frontiers in Aging Neuroscience, (9):253, 2017. URL
ICE: Interactive Classification Rule Exploration on Epidemiological Data. Proc. of the 30th IEEE Int. Symposium on Computer-Based Medical Systems (CBMS17), 606-611, Thessaloniki, Greece, 2017.
Studying the Potential of Multi-Target Classification to Characterize Combinations of Classes with Skewed Distribution. Proc. of IEEE Symposium on Computer-Based Medical Systems, Thessaloniki, Greece, 2017.
2016
A feature-based personalized recommender system for product-line configuration. In Bernd Fischer, and Ina Schaefer (Eds.), Proceedings of the 2016 ACM SIGPLAN International Conference on Generative Programming: Concepts and Experiences, GPCE 2016, 120-131, ACM, 2016. URL
Active Subtopic Detection in Multitopic Data. In Georg Krempl, Vincent Lemaire, Edwin Lughofer, and Daniel Kottke (Eds.), Proc. of the IKNOW-Workshop on Active Learning: Applications, Foundations and Emerging Trends, CEUR Workshop Proceedings, 2016. URL
A Comparative Study on Hyperparameter Optimization for Recommender Systems. In Elisabeth Lex, Roman Kern, Alexander Felfernig, Kris Jack, Dominik Kowald, and Emanuel Lacic (Eds.), Workshop on Recommender Systems and Big Data Analytics (RS-BDA'16) @ iKNOW 2016, 2016. URL
Active Selection of Difficult Classes. Tagung der Deutschen Arbeitsgemeinschaft Statistik (DAGSTAT), 2016. URL
Tutorial on Active Learning: Applications, Foundations and Emerging Trends. 2016.
Learning from monitoring unlabelled data under large verification latency. In Iris Pigeot, and Eyke Hüllermeier (Eds.), Joint Statistical Meeting DAGStat2016, Big Data and Data Science Track, 2016.
A studyforrest extension, simultaneous fMRI and eye gaze recordings during prolonged natural stimulation. Scientific Data, (3)160092Nature Publishing Group, October 2016. URL
Investigating Exploratory Capabilities of Uncertainty Sampling using SVMs in Active Learning. In Georg Krempl, Vincent Lemaire, Edwin Lughofer, and Daniel Kottke (Eds.), Active Learning: Applications, Foundations and Emerging Trends @iKnow 2016, 25-34, 2016. URL
Workshop on Active Learning: Applications, Foundations and Emerging Trends. In Georg Krempl, Vincent Lemaire, Edwin Lughofer, and Daniel Kottke (Eds.), CEUR Workshop Proceedings, (1707)Aachen University, Aachen, 2016. URL
Learning Pressure Patterns for Patients with Diabetic Foot Syndrome. Proc. of the 29th IEEE Int. Symposium on Computer-Based Medical Systems (CBMS16), IEEE, Dublin, Ireland and Belfast, Northern Ireland, June 2016.
Kombiniert Lernen - Effizient und effektiv Lehren. In Philipp Pohlenz (Eds.), Best practice in teaching, Tag der Lehre 2016, Magdeburg University., Jun 22, 2016. URL
Profilierung interdisziplinärer Nachwuchswissenschaftler -- Profilstudium und Summerschool Lernende Systeme / Biocomputing. In Barbara Paech (Eds.), Best practices in teaching, Deutscher Fakultätentag Informatik, 2016. URL
Identifying relevant features for a multi-factorial disorder with constraint-based subspace clustering. Proc. of the 29th IEEE Int. Symposium on Computer-Based Medical Systems (CBMS16), IEEE, Dublin, Ireland and Belfast, Northern Ireland, 2016.
Multi-Class Probabilistic Active Learning. In Gal A. Kaminka, Maria Fox, Paolo Bouquet, Eyke Hüllermeier, Virginia Dignum, Frank Dignum, and Frank van Harmelen (Eds.), ECAI, (285):586-594, IOS Press, 2016. URL
Temporal Aspects of Stream Active Learning. Tagung der Deutschen Arbeitsgemeinschaft Statistik (DAGSTAT), 2016. URL
Inferring Delayed Neural Network Connections. In John Aston, Claudia Kirch, and Hernando Ombao (Eds.), Conference on Novel Statistical Methods in Neuroscience (NeuroStat 2016), 2016.
Prediction-Induced Drift as New Form of Drift. In Iris Pigeot, and Eyke Hüllermeier (Eds.), Joint Statistical Meeting DAGStat2016, Big Data and Data Science Track, 2016.
Comparative Clustering of Plantar Pressure Distributions in Diabetics with Polyneuropathy May Be Applied to Reveal Inappropriate Biomechanical Stress. PLoS ONE, (11)8:1-12, Public Library of Science, August 2016. URL
Probabilistic Active Learning for Active Class Selection. In Kory Mathewson, Kaushik Subramanian, and Robert Loftin (Eds.), Proc. of the NIPS Workshop on the Future of Interactive Learning Machines, 2016. URL
On Temporal Density Extrapolation Using Kernels. In Miłosz Kadziński (Eds.), 28th European Conference on Operational Research (EURO 2016), 2016. URL
2015
Challenges in Mining Evolving Data Streams. 2015.
Predicting the post-treatment recovery of patients suffering from traumatic brain injury (TBI). Brain Informatics, 1-12, Springer Berlin Heidelberg, 2015. URL
Temporal Density Extrapolation. In Ahlame Douzal-Chouakria, José A. Vilar, Pierre-Francois Marteau, Ann Maharaj, Andrés M. Alonso, Edoardo Otranto, and Maria-Irina Nicolae (Eds.), Proc. of the 1st Int. Workshop on Advanced Analytics and Learning on Temporal Data (AALTD) co-located with ECML PKDD 2015, (1425)CEUR Workshop Proceedings, 2015. URL
When Learning Indeed Changes the World: Diagnosing Prediction-Induced Drift. In Tijl De Bie, Elisa Fromont, and Matthijs van Leeuwen (Eds.), Advances in Intelligent Data Analysis XIV - 14th Int. Symposium, IDA 2015, St. Etienne, France, (9385):XXII--XXIII, Springer, 2015.
Can we classify the participants of a longitudinal epidemiological study from their previous evolution?. Proc. of the 28th IEEE Int. Symposium on Computer-Based Medical Systems (CBMS15), 121-126, IEEE, São Carlos and Ribeirão Preto, Brazil, June 2015. URL
Semi-supervised Learning for Stream Recommender Systems. In Nathalie Japkowicz, and Stan Matwin (Eds.), Discovery Science, (9356):131-145, Springer International Publishing, 2015. URL
3D Regression Heat Map Analysis of Population Study Data. IEEE Transactions on Visualization and Computer Graphics (TVCG), to appear, 2015.
How to Select Information That Matters: A Comparative Study on Active Learning Strategies for Classification. Proc. of the 15th Int. Conf. on Knowledge Technologies and Data-Driven Business (i-KNOW 2015), ACM, 2015. URL
Optimised probabilistic active learning (OPAL) For Fast, Non-Myopic, Cost-Sensitive Active Classification. In João Gama, Indrė Žliobaitė, Alípio M. Jorge, and Concha Bielza (Eds.), Machine Learning, 1-28, Springer US, 2015. URL
Learning Relational User Profiles and Recommending Items as Their Preferences Change. International Journal on Artificial Intelligence Tools, (24)02:31 pages, 2015. URL
Probabilistic Active Learning in Datastreams. In Elisa Fromont, Tijl De Bie, and Matthijs van Leeuwen (Eds.), Advances in Intelligent Data Analysis XIV, (9385):145-157, Springer International Publishing, 2015. URL
Optimised probabilistic active learning (OPAL). In João Gama, Indrė Žliobaitė, Alípio M. Jorge, and Concha Bielza (Eds.), Machine Learning, 1-28, Springer US, 2015. URL
Discovering and Monitoring Product Features and the Opinions on them with OPINSTREAM. Neurocomput., (Volume 150)Part A:Pages 1-346, Elsevier Science Publishers B. V., Amsterdam, The Netherlands, The Netherlands, 2015.
Forgetting Methods for Incremental Matrix Factorization in Recommender Systems. Proceedings of the 30th Annual ACM Symposium on Applied Computing, 947--953, ACM, New York, NY, USA, 2015. URL
Incremental Active Opinion Learning Over a Stream of Opinionated Documents. WISDOM'15 (Workshop on Issues of Sentiment Discovery and Opinion Mining) 2015 at Knowledge Discovery and Data Mining, KDD'15 Workshops 2015, Sydney, Australia, August 10, 2015, 2015.
Ageing-Based Multinomial Naive Bayes Classifiers Over Opinionated Data Streams. In Annalisa Appice, Pedro Pereira Rodrigues, Vítor Santos Costa, Carlos Soares, João Gama, and Alípio Jorge (Eds.), Machine Learning and Knowledge Discovery in Databases, (9284):401-416, Springer International Publishing, 2015. URL
Predicting and Monitoring Changes in Scoring Data. In Jonathan Crook, David Edelman, David Hand, and Christophe Mues (Eds.), Credit Scoring and Credit Control XIV (CSCC XIV), XIVThe University of Edinburgh, 2015. URL
Clustering-Based Optimised Probabilistic Active Learning (COPAL). In Nathalie Japkowicz, and Stan Matwin (Eds.), Proc. of the 18th Int. Conf. on Discovery Science (DS 2015), (9356):101--115, Springer, 2015. URL
Extracting opinionated (sub)features from a stream of product reviews using accumulated novelty and internal re-organization. Information Sciences, -, 2015. URL
A framework for validating the merit of properties that predict the influence of a twitter user. Expert Systems with Applications, (42)5:2824-2834, 2015. URL
Data-Driven Spine Detection for Multi-Sequence MRI. In Heinz Handels, Thomas Martin Deserno, Hans-Peter Meinzer, and Thomas Tolxdorff (Eds.), Bildverarbeitung für die Medizin (BVM2015), 5-10, Springer Berlin Heidelberg, 2015. URL
2014
Mining longitudinal epidemiological data to understand a reversible disorder. Proc. of the 13th Int. Symposium on Intelligent Data Analysis (IDA'14), Springer, Leuven, Belgium, 2014.
Are Some Brain Injury Patients Improving More Than Others?. The 2014 International Conference on Brain Informatics and Health (BIH \'14), Warsaw, Poland., 2014.
Learning and inspecting classification rules from longitudinal epidemiological data to identify predictive features on hepatic steatosis. Expert Systems with Applications, (41)11:5405-5415, Elsevier BV, September 2014. URL
Tagungsband der Magdeburger-Informatik-Tage, 3. Doktorandentagung 2014 (MIT 2014). In Christian Hansen, Stefan Knoll, Veit Köppen, Georg Krempl, Claudia Krull, and Eike Schallehn (Eds.), Magdeburg University, 2014. URL
Data analysis, machine learning and knowledge discovery. In Myra Spiliopoulou, Lars Schmidt-Thieme, and Ruth Janning (Eds.), Studies in Classification, Data Analysis, and Knowledge Organization, Springer International Publishing, 2014. URL
Subpopulation Discovery in Epidemiological Data with Subspace Clustering. Foundations of Computing and Decision Sciences (FCDS), (39)4:271-300, 2014. URL
Discovering and Monitoring Product Features and the Opinions on them with OPINSTREAM. Neurocomput., Elsevier Science Publishers B. V., Amsterdam, The Netherlands, The Netherlands, 2014.
xStreams: Recommending Items to Users with Time-evolving Preferences. 4th International Conference on Web Intelligence, Mining and Semantics(WIMS 14), Thessaloniki, Greece., 2014.
Hoeffding-CF: Neighbourhood-Based Recommendations on Reliably Similar Users. In Vania Dimitrova, Tsvi Kuflik, David Chin, Francesco Ricci, Peter Dolog, and Geert-Jan Houben (Eds.), User Modeling, Adaptation, and Personalization, (8538):146–157, Springer International Publishing, 2014. URL
Summarizing dynamic Social Tagging Systems. Expert Systems with Applications, (41)2:457-469, Elsevier BV, February 2014. URL
Adaptive Semi Supervised Opinion Classifier With Forgetting Mechanism. Proc. of the 29th Annual ACM Symposium on Applied Computing, ACM, 2014.
Using Participant Similarity for the Classification of Epidemiological Data on Hepatic Steatosis. Proc. of the 27th IEEE Int. Symposium on Computer-Based Medical Systems (CBMS14), IEEE, Mount Sinai, NY, 2014. URL
Probabilistic Active Learning: A Short Proposition. In Torsten Schaub, Gerhard Friedrich, and Barry O'Sullivan (Eds.), Proceedings of the 21st European Conference on Artificial Intelligence (ECAI2014), August 18 -- 22, 2014, Prague, Czech Republic, (263)IOS Press, 2014. URL
Predicting the Performance of Collaborative Filtering Algorithms. Proceedings of the 4th International Conference on Web Intelligence, Mining and Semantics (WIMS14), 38:1--38:6, ACM, New York, NY, USA, 2014. URL
Open Challenges for Data Stream Mining Research. In Charu Aggarwal, Haixun Wang, Hanghang Tong, and Ankur M. Teredesai (Eds.), SIGKDD Explorations, (16 Special Issue on Big Data)1:1--10, 2014. URL
Probabilistic Active Learning: Towards Combining Versatility, Optimality and Efficiency. In Saso Dzeroski, Pance Panov, Dragi Kocev, and Ljupco Todorovski (Eds.), Proceedings of the 17th Int. Conf. on Discovery Science (DS), Bled, Springer, 2014. URL
Interactive Medical Miner: Interactively Exploring Subpopulations in Epidemiological Datasets. In Calders et al. (Eds.), European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2014) - DEMO TRACK, (8726):460-463, Springer Berlin Heidelberg, 2014. URL
A Semi-supervised Self-Adaptive Classifier over Opinionated Streams. Proceedings of the 2014 IEEE 14th International Conference on Data Mining Workshops, IEEE Computer Society, Washington, DC, USA, 2014.
Selective Forgetting for Incremental Matrix Factorization in Recommender Systems. In Sašo Džeroski, Panče Panov, Dragi Kocev, and Ljupčo Todorovski (Eds.), Discovery Science, (8777):204-215, Springer International Publishing, 2014. URL
2013
Referenzprozessabläufe für Telekommunikationsunternehmen. WIRTSCHAFTSINFORMATIK, (55)2:83-97, SP Gabler Verlag, 2013. URL
Sustainability of the iPhone.. EnviroInfo, 426-433, 2013.
Mining perennial objects PhD thesis. 2013. URL
Classification of Benign and Malignant DCE-MRI Breast Tumors by Analyzing the Most Suspect Region. In Hans-Peter Meinzer, Thomas Martin Deserno, Heinz Handels, and Thomas Tolxdorff (Eds.), Bildverarbeitung für die Medizin 2013, 45-50, Springer Berlin Heidelberg, 2013. URL
Real-World Challenges for Data Stream Mining - proceedings of the 1st International Workshop on Real-World Challenges for Data Stream Mining, RealStream 2013, Prague, Czech Republic, September 27, 2013. In Georg Krempl, Indre Zliobaite, Yin Wang, and Georg Forman (Eds.), (Online)Magdeburg University, 2013. URL
Can we distinguish between benign and malignant breast tumors in DCE-MRI by studying a tumor's most suspect region only?. Computer-Based Medical Systems (CBMS), 2013 IEEE 26th International Symposium on, 77-82, June 2013. URL
Correcting the Usage of the Hoeffding Inequality in Stream Mining. In Allan Tucker, Frank Höppner, Arno Siebes, and Stephen Swift (Eds.), Advances in Intelligent Data Analysis XII, (8207):298-309, Springer Berlin Heidelberg, 2013. URL
Entwicklung einer referenzmodellbasierten Unternehmensarchitektur für die Telekommunikationsindustrie. Logos Berlin, Berlin, 2013. URL
Drift mining in data: A framework for addressing drift in classification. Computational Statistics and Data Analysis, (57)1:377-391, 2013.
Extracting Opinionated (Sub)Features from a Stream of Product Reviews. In Johannes Fürnkranz, Eyke Hüllermeier, and Tomoyuki Higuchi (Eds.), Discovery Science, (8140):340-355, Springer Berlin Heidelberg, 2013. URL
Framework for Storing and Processing Relational Entities in Stream Mining. In Jian Pei, Vincent S. Tseng, Longbing Cao, Hiroshi Motoda, and Guandong Xu (Eds.), Advances in Knowledge Discovery and Data Mining, (7819):497-508, Springer Berlin Heidelberg, 2013. URL
Tagungsband der Magdeburger-Informatik-Tage, 2. Doktorandentagung 2013 (MIT 2013). In Robert Buchholz, Georg Krempl, Claudia Krull, Eike Schallehn, Sebastian Stober, Frank Ortmeier, and Sebastian Zug (Eds.), Magdeburg University, 2013. URL
Mining Multiple Threads of Streaming Data. Tutorial at the 17th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2013), Gold Coast, Australia, April 2013. URL
Reference Process Flows for Telecommunication Companies. Business & Information Systems Engineering, (5)2:83-96, SP Gabler Verlag, 2013. URL
2012
Where Are We Going? Predicting the Evolution of Individuals. In Jaakko Hollmén, Frank Klawonn, and Allan Tucker (Eds.), Advances in Intelligent Data Analysis XI, (7619):357-368, Springer Berlin Heidelberg, 2012. URL
Guest editorial: special issue on a decade of mining the Web. Data Mining and Knowledge Discovery, (24)3:473-477, Springer US, 2012. URL
Advanced Topics on Data Stream Mining: Part II. Mining Multiple Streams. Bristol, UK, 24-28 09 2012.
Discovering Global and Local Bursts in a Stream of News. Proceedings of the 27th Annual ACM Symposium on Applied Computing, 807--812, ACM, New York, NY, USA, 2012. URL
FINGERPRINT: Summarizing Cluster Evolution in Dynamic Environments. Int.\ Journal of Data Warehousing and Mining (IJDWM), 2012.
Framework for Computer Aided Analysis of Medical Protocols in a Hospital.. In Emmanuel Conchon, Carlos Manuel B. A. Correia, Ana L. N. Fred, and Hugo Gamboa (Eds.), HEALTHINF, 225-230, SciTePress, 2012. URL
A hierarchical tree layout algorithm with an application to corporate management in a change process. Expert Systems with Applications, (39)15:12123-12130, 2012.
A Semi-supervised Incremental Clustering Algorithm for Streaming Data. Proc. of 16th Pacific-Asian Conf. on Knowledge Discovery (PAKDD 2012), Kuala Lumpur, Malaysia, May 2012.
Stream Mining in Education? Dealing with Evolution. Chania, Greece, 19-21 06 2012.
36th Annual Conf. of the German Classification Society (GfKl) on Data Analysis, Machine Learning and Knowledge Discovery (GfKl 2012). In Myra Spiliopoulou, Lars Schmidt-Thieme, and Ruth Janning (Eds.), Hildesheim, Germany, August 2012.
Tagungsband der 1. Doktorandentagung Magdeburger-Informatik-Tage (MIT 2012). In Georg Krempl, Claudia Krull, Frank Ortmeier, Eike Schallehn, and Sebastian Zug (Eds.), 2012. URL
Tranformation in Telecummunication - Analyse und Clustering von Real-life Projekten. (Multikonferenz Wirtschaftsinformatik 2012. - Berlin : Gito):985-997, 2012. URL
A holistic framework for the implementation of a next generation network. IJBIS, (9)4:385, Inderscience Publishers, 2012. URL
2011
Report of the symposium "Lernen, Wissen, Adaptivität 2011" of the GI special interest groups KDML, IR and WM. In Myra Spiliopoulou, Andreas Nürnberger, and Rene Schult (Eds.), September 2011. URL
Adaptive Prediction Models and their Application to Credit Scoring. 2011.
Classification in Presence of Drift and Latency. In Myra Spiliopoulou, Haixun Wang, Diane Cook, Jian Pei, Wei Wang, Osmar Zaïane, and Xindong Wu (Eds.), Proceedings of the 11th IEEE International Conference on Data Mining Workshops (ICDMW 2011), IEEE, 2011.
The Algorithm APT to Classify in Concurrence of Latency and Drift. In João Gama, Elizabeth Bradley, and Jaakko Hollmén (Eds.), Advances in Intelligent Data Analysis X, (7014):222-233, Springer, 2011.
Prediction of surgery duration using empirical anesthesia protocols. The first International Workshop on Knowledge Discovery in Health Care and Medicine. - Athen, 2011. URL
On the Distinctiveness of Tags in Collaborative Tagging Systems. Proceedings of the International Conference on Web Intelligence, Mining and Semantics, 62:1--62:5, ACM, New York, NY, USA, 2011. URL
Novel Data Stream Pattern Mining Report on the StreamKDD'10 Workshop. SIGKDD Explor. Newsl., (12)2:54--55, ACM, New York, NY, USA, March 2011. URL
Extracting Cross References from Life Science Databases for Search Result Ranking. Proceedings of the 20th ACM International Conference on Information and Knowledge Management, 1253--1258, ACM, New York, NY, USA, 2011. URL
Evolution in Social Networks: A Survey.. In Charu C. Aggarwal (Eds.), Social Network Data Analytics, 149-175, Springer, 2011. URL
Drift Models and Classification in Presence of Latency and Drift. Proceedings of the Symposium Learning, Knowledge, Adaptation (LWA 2011) of the GI Special Interest Groups KDML, IR and WM., 65--72, September 2011.
Online Clustering of High-Dimensional Trajectories under Concept Drift. In Dimitrios Gunopulos, Thomas Hofmann, Donato Malerba, and Michalis Vazirgiannis (Eds.), Machine Learning and Knowledge Discovery in Databases, (6912):261-276, Springer Berlin Heidelberg, 2011. URL
Dealing with concept drift and class imbalance in multi-label stream classification. Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence, (2):1583-1588, July 2011. URL
Summarizing Cluster Evolution in Dynamic Environments. In Beniamino Murgante, Osvaldo Gervasi, Andrés Iglesias, David Taniar, and BernadyO. Apduhan (Eds.), Computational Science and Its Applications - ICCSA 2011, (6783):562-577, Springer Berlin Heidelberg, 2011. URL
Making Business Systems in the Telecommunication Industry More Customer-Oriented. In Jaroslav Pokorny, Vaclav Repa, Karel Richta, Wita Wojtkowski, Henry Linger, Chris Barry, and Michael Lang (Eds.), Information Systems Development, 169-180, Springer New York, 2011. URL
Classification Rule Mining for a Stream of Perennial Objects.. In Nick Bassiliades, Guido Governatori, and Adrian Paschke (Eds.), RuleML Europe, (6826):281-296, Springer, 2011. URL
Summarization Meets Visualization on Online Social Networks. Web Intelligence and Intelligent Agent Technology (WI-IAT), 2011 IEEE/WIC/ACM International Conference on, (1):475-478, August 2011. URL
Query-Sets + + : A Scalable Approach for Modeling Web Sites. In Roberto Grossi, Fabrizio Sebastiani, and Fabrizio Silvestri (Eds.), String Processing and Information Retrieval, (7024):129-134, Springer Berlin Heidelberg, 2011. URL
A data generator for multi-stream data. The second International Workshop on Mining Ubiquitous and Social Environments, MUSE '11, September 5, 2011 Athens, Greece, 2011. URL
2010
Density-based semi-supervised clustering. Data Mining and Knowledge Discovery, (21)3:345-370, Springer US, 2010. URL
Visually summarizing the Evolution of Documents under a Social Tag. In Martin Atzmüller, Dominik Benz, Andreas Hotho, and Gerd Stumme (Eds.), Proceedings of LWA2010 - Workshop-Woche: Lernen, Wissen & Adaptivitaet, Kassel, Germany, 2010. URL
Eigenvector-based Clustering Using Aggregated Similarity Matrices. Proceedings of the 2010 ACM Symposium on Applied Computing, 1083--1087, ACM, New York, NY, USA, 2010. URL
Services in electronic telecommunication markets: a framework for planning the virtualization of processes. Electronic Markets, (20)3-4:197-207, Springer-Verlag, 2010. URL
Privacy-preserving Query Log Mining for Business Confidentiality Protection. ACM Trans. Web, (4)3:10:1--10:26, ACM, New York, NY, USA, July 2010. URL
Tree Induction over Perennial Objects.. In Michael Gertz, and Bertram Ludäscher (Eds.), SSDBM, (6187):640-657, Springer, 2010. URL
Automated Constraint Selection for Semi-supervised Clustering Algorithm. In Pedro Meseguer, Lawrence Mandow, and RafaelM. Gasca (Eds.), Current Topics in Artificial Intelligence, (5988):151-160, Springer Berlin Heidelberg, 2010. URL
Wissensmanagement kleiner und mittelständischer Unternehmen in Zeiten demographischen Wandels. (Wertschöpfungsmanagement im Mittelstand. - Wiesbaden : Gabler):43-69, 2010.
2009
How does the implementation of a next generation network influence a telecommunication company?. (Online Proceedings of the European and Mediterranean Conference on Information Systems (EMCIS). - Brunel University)2009. URL
Spectral Clustering in Social-Tagging Systems. In Gottfried Vossen, DarrellD.E. Long, and JeffreyXu Yu (Eds.), Web Information Systems Engineering - WISE 2009, (5802):87-100, Springer Berlin Heidelberg, 2009. URL
Advances in Web mining and Web usage analysis revised papers. In Haizheng Zhang, Myra Spiliopoulou, Bamshad Mobasher, C. Lee Giles, Andrew McCallum, Olfa Nasraoui, Jaideep Srivastava, and John Yen (Eds.), Springer, Berlin; Heidelberg; New York, NY, 2009. URL
Stream Clustering of Growing Objects.. In João Gama, Vítor Santos Costa, Alípio Mário Jorge, and Pavel Brazdil (Eds.), Discovery Science, (5808):433-440, Springer, 2009. URL
C-DenStream: Using Domain Knowledge on a Data Stream. In João Gama, VítorSantos Costa, AlípioMário Jorge, and PavelB. Brazdil (Eds.), Discovery Science, (5808):287-301, Springer Berlin Heidelberg, 2009. URL
08421 Working Group: Imprecision, Diversity and Uncertainty: Disentangling Threads in Uncertainty Management. In Christoph Koch, Birgitta König-Ries, Volker Markl, and Maurice van Keulen (Eds.), Uncertainty Management in Information Systems, 08421Schloss Dagstuhl - Leibniz-Zentrum fuer Informatik, Germany, Dagstuhl, Germany, 2009. URL
Finding Stops in Error-Prone Trajectories of Moving Objects with Time-Based Clustering. Intelligent Interactive Assistance and Mobile Multimedia Computing, (53):275-286, Springer Berlin Heidelberg, 2009.
Combining Multiple Interrelated Streams for Incremental Clustering.. In Marianne Winslett (Eds.), SSDBM, (5566):535-552, Springer, 2009. URL
Topic Evolution in a Stream of Documents.. SDM, 859-872, SIAM, 2009. URL
Advances in Web Mining and Web Usage Analysis, 9th International Workshop on Knowledge Discovery on the Web, WebKDD 2007, and 1st International Workshop on Social Networks Analysis, SNA-KDD 2007, San Jose, CA, USA, August 12-15, 2007. Revised Papers. In Haizheng Zhang, Myra Spiliopoulou, Bamshad Mobasher, C. Lee Giles, Andrew McCallum, Olfa Nasraoui, Jaideep Srivastava, and John Yen (Eds.), WebKDD/SNA-KDD, (5439)Springer, 2009. URL
Knowledge discovery enhanced with semantic and social information. Springer, Berlin, 2009. URL
Tracing cluster transitions for different cluster types. Control and Cybernetics, (38)1:239-259, 2009. URL
2008
Notes of knowledge discovery from evolving data. Antwerp, 2008.
On Exploiting the Power of Time in Data Mining. SIGKDD Explor. Newsl., (10)2:3--11, ACM, New York, NY, USA, December 2008. URL
Lifelong knowledge acquisition with topic monitoring. Informatik 2008 ; Bd. 1: Workshop E-Government und Digitale Archive - Workshop Gesundheitstelematik und eGK - Workshop SOA und EU-Dienstleistungsrichtlinie in der Öffentlichen Verwaltung - Workshop Security for Web Services and SOA - Workshop Software, Services und Plattformen für Neue Infrastrukturen in der Telekommunikation - Workshop Modellbasiertes Testen - Workshop Informationssysteme mit Open Source - Workshop Mobile and Embedded Interactive Systems - Workshop Vorgehensmodelle in der Praxis - Workshop IT-gestütztes Wissensmanagement - Workshop Elektronische Wahlen, Elektronische Teilhabe, Societyware: Beherrschbare Systeme? Wünschenswerte Systeme? - Workshop Mobiles Spielen. - Bonn : Ges. für Informatik, 378-385, 2008.
Natural language and information systems 13th International Conference on Applications of Natural Language to Information Systems, NLDB 2008, London, UK, June 24-27, 2008 : proceedings. Springer, Berlin; New York, 2008. URL
Discovering Groups of Sibling Terms from Web Documents with XTREEM-SG.. In Stefano Spaccapietra, Jeff Z. Pan, Philippe Thiran, Terry A. Halpin, Steffen Staab, Vojtech Svátek, Pavel Shvaiko, and John F. Roddick (Eds.), J. Data Semantics, (11):126-155, Springer, 2008. URL
Contributing to market monitoring with topic evolution monitoring. Datenbank-Spektrum. - Berlin : Springer, (8)25:23-30, 2008. URL
Studying community dynamics with an incremental graph mining algorithm. 14th Americas Conference on Information Systems. - Red Hook, NY : Curran, 2008.
Higher order mining. SIGKDD explorations. - New York, NY : ACM, (10)1:5-17, 2008. URL
On exploiting the power of time in data mining. SIGKDD explorations. - New York, NY : ACM, (10)2:3-11, 2008.
2007
Topic and cluster evolution over noisy document streams. Data mining patterns. - Hershey, Pa. u.a. : Information Science Reference, 220-239, 2007.
Users in volatile communities - studying active participation and community evolution. User modeling 2007. - Berlin u.a. : Springer, 57-66, 2007.
Modeling, Discovering and Using User Communities. Corfu, Greece, June 2007.
Website Privacy Preservation for Query Log Publishing. In Francesco Bonchi, Elena Ferrari, Bradley Malin, and Yücel Saygin (Eds.), PinKDD, (4890):80-96, Springer, 2007. URL
Constraint-Based Query Clustering. Proc. of Atlantic Web Intelligence Conf. (AWIC'07), 304-309, Springer Verlag, 2007. URL
Advances in Web Mining and Web Usage Analysis 8th International Workshop on Knowledge Discovery on the Web, WebKDD 2006 Philadelphia, USA, August 20, 2006 Revised Papers. Springer-Verlag Berlin Heidelberg, Berlin, Heidelberg, 2007. URL
Data mining for community dynamics. Künstliche Intelligenz. - Berlin : Springer, 3:23-29, 2007. URL
Monitoring cluster transitions with MONIC /Myra Spiliopoulou; Irene Ntoutsi; Yannis Theodoridis; Rene Schult. Business intelligence. - Hamburg : Kovac, 141-152, 2007.
WebKDD/SNAKDD 2007 - web mining and social network analysis post-workshop report. SIGKDD explorations. - New York, NY : ACM, (9)2:87-92, 2007.
C-DBSCAN - density-based clustering with constraints. Rough sets, fuzzy sets, data mining and granular computing. - Berlin u.a. : Springer, 216-223, 2007.
Understanding change before adaption - tracing changes over a stream of data. LWA 2007. - Halle : Martin-Luther-Univ. Halle-Wittenberg, Inst. for Informatics, Databases and Information Systems, 10, 2007.
Domain relevance on term weighting. Natural language processing and information systems. - Berlin u.a. : Springer, 427-432, 2007.
DENGRAPH - a density-based community detection algorithm. Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence (WI 2007). - Los Alamitos, Calif. u.a. : IEEE Computer Society, 112-115, 2007.
Comparing Clustering Algorithms and their Influence on the Evolution of Labeled Clusters. Procedings of DEXA 2007, 650-659, September 2007.
Acquiring Semantic Sibling Associations from Web Documents. Int. Journal of Data Warehousing and Mining (IJDWM), (3)4:83-98, October 2007. URL
Discovering and Tracking User Communities. Warsaw, Poland, September 2007.
2006
Mining and visualizing the evolution of subgroups in social networks. The @2006 IEEE/WIC/ACM International Conference on Web Intelligence (WI 2006 main conference proceedings), 2006 IEEE /WIC/ACM International Conference on Intelligent Agent Technology (IAT 2006 main conference proceedings), 2006 IEEE /WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT 2006 workshop proceedings). - Los Alamitos, Calif. u.a. : IEEE Computer Society, (3):102-105, 2006.
Discovering multi terms and co-hyponymy from XHTML documents with XTREEM. Knowledge discovery from XML documents. - Berlin u.a. : Springer, 22-32, 2006. URL
Evaluation of Ontology Enhancement Tools. In Markus Ackermann, Bettina Berendt, Marko Grobelnik, Andreas Hotho, Dunja Mladenič, Giovanni Semeraro, Myra Spiliopoulou, Gerd Stumme, Vojtěch Svátek, and Maarten van Someren (Eds.), Semantics, Web and Mining, (4289):132-146, Springer Berlin Heidelberg, 2006. URL
Observing dynamics in community structures. AISB'06 ; Vol. 3. - Bristol : Univ., 102-105, 2006.
The MONIC framework for cluster transition detection. 5th Hellenic Data Management Symposium, 7-8 September 2006, Thessaloniki, Greece; proceedings. - Thessaloniki, 90-99, 2006.
Discovering semantic sibling groups from web documents with XTREEM-SG. Managing knowledge in a world of networks. - Berlin u.a. : Springer, 141-157, 2006.
WebKDD 2006: Web Mining and Web Usage Analysis Post-workshop Report. SIGKDD Explor. Newsl., (8)2:84--89, ACM, New York, NY, USA, December 2006. URL
Community dynamics mining. 14th European Conference on Information Systems. - Göteborg, 2006.
Semantics, Web and Mining, Joint International Workshops, EWMF 2005 and KDO 2005, Porto, Portugal, October 3 and 7, 2005, Revised Selected Papers. In Markus Ackermann, Bettina Berendt, Marko Grobelnik, Andreas and Hotho, Dunja Mladenic, Giovanni Semeraro, Myra and Spiliopoulou, Gerd Stumme, Vojtech Svátek, and Maarten and van Someren (Eds.), 2006.
Machine learning: ECML 2006 - 17th European Conference on Machine Learning, Berlin, Germany, September 18 - 22, 2006 ; proceedings. Lecture notes in computer science; 4212, Berlin u.a., 2006. URL
Current trends in database technology - EDBT 2006 - EDBT 2006 Workshops PhD, DataX, IIDB, IIHA, ICSNW, QLQP, PIM, PaRMa, and Reactivity on the Web, Munich, Germany, March 26-31, 2006 ; revised selected papers. Lecture notes in computer science; 4254, Berlin u.a., 2006. URL
User constraints over data streams. Proceedings of the 4th International Workshop on Knowledge Discovery from Data Streams. - Berlin, 117-126, 2006.
Discovering semantic sibling associations from web documents with XTREEM-SP. Data warehousing and knowledge discovery. - Berlin u.a. : Springer, 469-480, 2006.
MONIC - modeling and monitoring cluster transitions. Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. - New York, NY : ACM Press, 706-711, 2006.
Expanding the taxonomies of bibliographic archives with persistent long-term themes. Applied computing 2006 ; Vol. 1. - New York, NY : Association for Computing Machinery, 627-634, April 2006. URL
Advances in web mining and web usage analysis - 7th International Workshop on Knowledge Discovery on the Web, WebKDD 2005, Chicago, IL, USA, August 21, 2005 ; revised papers. Lecture notes in computer science; 4198, Berlin, 2006. URL
From data and information analysis to knowledge engineering - proceedings of the 29th annual conference of the Gesellschaft für Klassifikation e.V., University of Magdeburg, March 9 - 11, 2005 ; with 120 tables. Studies in classification, data analysis, and knowledge organization, Berlin u.a., 2006. URL
Knowledge discovery in databases: PKDD 2006 ; 10th European Conference on Principles and Practice of Knowledge Discovery in Databases, Berlin, Germany, September 18-22, 2006 ; proceedings. Lecture notes in computer science; 4213, Berlin u.a., 2006. URL
Discovering emerging topics in unlabelled text collections. Advances in databases and information systems. - Berlin u.a. : Springer, 353-366, 2006.
2005
Temporal evolution and local patterns.. Local Patterns Detection, 190-206, Springer-Verlag Berlin Heidelberg, 2005.
Experimental Investigation of the Effects. Proc. of ECIS 2005, 2005. URL
Debriefings: a knowledge management method to capture lessons learned in large-scale projects.. 2005.
Mining the Volatile Web. Porto, Portugal, October 2005.
Capturing experiences in large-scale product development projects using debriefing.. 2005.
The influence of incentives and culture on knowledge sharing.. Proc. of 38th Hawaiian Int. Conf. on System Science (HICSS 2005), January 2005.
WebKDD 2005 : web mining and web usage analysis post-workshop report.. 2005.
Ontology Enhancement with Fine-Grained Text Mining - The RELFIN Suite. June 2005.
RELFIN : topic discovery for ontology enhancement and annotation.. Proc. of European Conference on the Semantic Web (ESWC 2005), 608-622, Springer Verlag Berlin Heidelberg, May 2005. URL
2005 Int. Workshop on Customer Relationship Management: Data Mining Meets Marketing (CRM'05). In Alex Tuzhilin, Russ Winer, Bing Liu, Myra Spiliopoulou, Jaideep Srivastava, Eitan Muller, Venky Shankar, and Joel Steckel (Eds.), NYU STERN, New York City, NY, November 2005.
International journal of business intelligence and data mining. In Myra Spiliopoulou (Eds.), International journal of business intelligence and data mining., Inderscience Enterprises, Genève, Switzerland, 2005. URL
2004
Studying knowledge trading with a business game.. 2004.
Evaluation in Web Mining. Pisa, Italy, September 2004.
Overview of the ACM SIGKDD 2004 workshop.. 2004.
Coupling information extraction and data mining for ontology learning in PARMENIDES.. Proc. of RIAO'2004, 2004.
Web mining: from web to semantic web (First European web mining forum, EWMF 2003 Cavtat- Dubrovnik, Croatia, September 2003). - invited and selected papers. Berlin : Springer, 2004, VIII, 200 S. (Lecture notes in computer science 3209). In Bettina Berendt, Andreas Hotho, Dunja Mladenic, Maarten and van Someren, Myra Spiliopoulou, and Gerd Stumme (Eds.), LNAI, Springer, 2004.
Monitoring the evolution of web usage patterns.. Web Mining: From Web to Semantic Web", First European Web Mining Forum (EWMF 2003), Invited and Selected Revised Papers, (LNAI 3209):181-200, Springer, 2004.
A roadmap for web mining : from web to semantic web.. 2004.
Deriving multiple topics to label small document regions.. Proc.\ of 6th Int. Conf. on Data Warehousing and Knowledge Discovery (DAWAK\'04), 289-294, Springer, September 2004. URL
Towards an evaluation framework for knowledge management systems.. 2004.
2003
Application Service Providing as Part of Intelligent Decision Support for Supply Chain Management. In Proceedings of the HICSS, 200-202, 2003.
Efficient monitoring of patters in data mining environment.. Proc. of 7th East-European Conf. on Advances in Databases and Inf. Sys. (ADBIS'03), 253-265, Springer, September 2003.
WEBKDD 2002 - Mining Web Data for Discovering Usage Patterns and Profiles, 4th International Workshop, Edmonton, Canada, July 23, 2002, Revised Papers. In Osmar R. Zaïane, Jaideep Srivastava, Myra Spiliopoulou, and Brij M. Masand (Eds.), LNAI 2703, Springer, 2003.
A Framework for the Evaluation of Session Reconstruction Heuristics in Web Usage Analysis. INFORMS Journal on Computing, Special Issue on``Mining Web-based Data for E-Business Applications''(eds. Rashid, Louiqa and Tuzhilin, Alex), 2003.
Text-Mining an der Börse: Einfluss von Ad-hoc-Mitteilungen auf die Kursentwicklung. Data Mining und Statistik in Hochschule undWirtschaft", Proc. der 7. Konferenz der SAS-Anwender inForschung und Entwicklung (KSFE), 215--228, Shaker-Verlag, Potsdam, Germany, February 2003.
Kursrelevanzprognose von Ad-hoc-Meldungen : Text Mining wider die Informationsüberlastung im Mobile Banking.. Proc. der 6. Internationalen Tagung Wirtschaftsinformatik (Medien - Märkte - Mobilität), 181-200, September 2003.
2002
Electronic Marketplaces of Knowledge: Characteristics and Sharing of Knowledge Assets. Proceedings of the International Conference on Advances inInfrastructure for e-Business, e-Education, e-Science, and e-Medicine on theInternet (SSGRR 2002w), Scuola Superiore G. Reiss Romoli, L'Aquila: Italy, January 2002.
Modelling and Incorporating Background Knowledge in the Web Mining Process. In David Hand, Niall Adams, and Richard Bolton (Eds.), Proc. of ESF Exploratory Workshop onPattern Detection and Discovery, 154-169, Springer Verlag, London, UK, September 2002.
Text Mining auf Handelsregistereintragen: Der SAS Enterprise Miner im Einsatz. In Klaus Wilde, Hajo Hippner, and Melanie Merzenich (Eds.), Data Mining: Mehr Gewinn aus IhrenKundendaten, 117-124, Verlagsgruppe Handelsblatt, Düsseldorf, 2002.
Monitoring the Results of the KDD Process: An Overview of Pattern Evolution. In J. M. Meij (Eds.), Dealing with the Data Flood: Mining data, text and+multimedia, 845-863, STT Netherlands Study Center for Technology Trends, The Hague, Netherlands, April 2002.
WEBKDD 2001 - Mining Web Log Data Across All Customers Touch Points, Third International Workshop, San Francisco, CA, USA, August 26, 2001, Revised Papers. In Ron Kohavi, Brij M. Masand, Myra Spiliopoulou, and Jaideep Srivastava (Eds.), LNAI 2356, Springer, 2002.
Web Usage Mining for E-Business Applications. Helsinki, Finland, August 2002.
Wie werden Surfer zu Kunden? Navigationsanalyse zur Ermittlung des Konversionspotenzials verschiedener Sitebereiche. In Hajo Hippner, Melanie Merzenich, and Klaus Wilde (Eds.), Handbuch Web Mining im Marketing, 394-405, vieweg, 2002.
Journal of Data Mining and Knowledge Discovery, Special Issue on Web Mining. In Ron Kohavi, Brij Masand, Myra Spiliopoulou, and Srivastava Jaideep (Eds.), (6(1))Kluwer Academic Publishers, January 2002.
Expertenrat in E-Marketplaces. HMD Praxis der Wirtschaftsinformatik, (223):38-48, dpunkt.verlag, 2002.
Structuring Domain-Specific Text Archives by Deriving a Probabilistic XML DTD. 6th European Conf. on Principles and Practice of KnowledgeDiscovery in Databases, PKDD\'02, 461-474, Springer Verlag, Helsinki, Finland, August 2002.
Semantic Tagging of Domain-Specific Text Archives with Data Mining Techniques. Doctoral Consortium at the 10th European Conf. onInformation Systems (ECIS), Gdansk, Poland, June 2002.
Modelling Web Site Usage with Sequences of Goal-Oriented Tasks. In Christof Weinhardt, and Carsten Holtmann (Eds.), Proc. of Workshop E-Commerce: Netze, Markte,Technologien, in Multikonferenz der Wirtschaftsinformatik(MKWI'02), 203-222, Physica Verlag, Nürnberg, Germany, September 2002.
Assoziations- und Pfadanalyse --- Entdeckung von Abhängigkeiten. In Hajo Hippner, Melanie Merzenich, and Klaus Wilde (Eds.), Handbuch Web Mining im Marketing, 143-162, vieweg, 2002.
A Survey of Temporal Knowledge Discovery Paradigms and Methods. IEEE Trans. of Knowledge and Data Engineering, (14)4:750-767, July 2002.
Employing Text Mining for Semantic Tagging in DIAsDEM. KI: Künstliche Intelligenz: Themenheft Text Mining, (16)2:27-29, 2002.
Building and Exploiting Ad Hoc Concept Hierarchies for Web Log Analysis. Proc. of 4th Int. Conf. on Data Warehousing and KnowledgeDiscovery, DaWaK 2002, Aix-en-Provence, September 2002.
2001
Data mining for measuring and improving the success of web sites.. 2001.
Kontrolle der Präsentation und Vermarktung von Gütern im WWW.. 2001.
Semantic tagging pf domain-specific text documents with DIASsDEM.. 2001.
Measuring the Accuracy of Sessionizers for Web Usage Analysis. Int. SIAM Workshop on Web Mining, April 2001.