The KMD group is happy to announce that the paper "How to Select Information That Matters: A Comparative Study on Active Learning Strategies for Classification" by Christian Beyer, Georg Krempl and Vincent Lemaire has won the Best Paper Award at this year's iKnow (15th International Conference on Knowledge Technologies and Data-Driven Business 2015, Graz, Austria).
Mrs. Nedime Tugce Habip, student of the Master Digital Engineering, is the recipient of the 2015 award "Otto-von-Guericke-Stipendium". The city of Magdeburg gives this award since 2003 to international students with excellent academic performance and social engagement. Next to her superior performance in her studies, Mrs. Habip engages in mentoring international students from the Master Digital Engineering and Master Data & Knowledge Engineering degrees and in further social activities in the University and in our city. Mrs. Habip was nominated by the studies coordinator of the Master Data & Knowledge Engineering, Prof. Myra Spiliopoulou.
The KMD Lab is present with two papers at ECML PKDD 2015 in Porto, Portugal. The papers are joint works with colleagues from Germany/abroad.
On Tuesday, Sept. 8, 2015:
"Ageing-based Multinomial Naive Bayes Classifiers over Opinionated Data Streams" by Sebastian Wagner, Max Zimmermann, Ntoutsi Eirini, Myra Spiliopoulou
On Thursday, Sept. 10, 2015:
"Optimised Probabilistic Active Learning (OPAL) For Fast, Non-Myopic, Cost-Sensitive Active Classification by Georg Krempl, Daniel Kottke, Vincent Lemaire
Myra Spiliopoulou also organizes the ECML PKDD Demo Track 2015, together with Francesco Bonchi and Jaime Cardoso. The demo spotlight session is on Tuesday, Sept. 8, and the demo presentations are on Tuesday evening and on Thursday evening.
The faculty of computer science Magdeburg has awarded KMD staff member Uli Niemann the faculty's 2014 Student Research Award for the article
U. Niemann, H. Völzke, J.-P. Kühn, and M. Spiliopoulou. 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.
The article was written within the frame of scientific individual project during Uli's Master study of Business Information Systems and employs data from the Study of Health in Pomerania (SHIP). This work is a cooperation of the KMD research lab with the University Medicine Greifswald.
The prestigious journal Expert Systems with Applications (ESWA) from Elsevier emphasises on artificial intelligence and machine learning methods with a special focus on challenging practical applications. The article was submitted on 25.10.2013 and accepted on 20.02.2014. ESWA has an Impact Factor of 1.965 (2013) and a Five-Year Impact Factor of 2.254.