Knowledge Management & Discovery Lab

Logo Knowledge Management & Discovery Lab

KMD stands for "Knowledge Management and Discovery" .

The KMD Lab is part of the department Technical and Business Information Systems (ITI)
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The KMD Lab has been established in February 2003.

 

In the KMD lab, we develop and apply data mining methods for dynamic environments, with particular emphasis on:

  • Machine Learning methods for streams and time series with gaps – prediction and feature contribution
  • Parsimonious usage of data and features – cost-aware active feature acquisition methods
  • Design of human-understandable solutions


Our application areas are:

More on our research can be found here.

Our research is reflected in our teaching curriculum, which is built around the topic of data mining: Students learn underpinnings of data mining in all bachelor courses we offer. In the mandatory courses ITO and WMS of the Bachelor Wirtschaftsinformatik degree, we focus on mining for business applications. In the Recommenders course, we elaborate on the mining methods for static and stream recommenders.

In the courses Data Mining I (two variants, one for bachelor degrees, one for master degrees), students learn fundamentals on algorithms, model evaluation and data preparation. In Data Mining II, students learn learning methods for timestamped data. In the seminars, team projects and individual projects, students learn to design and apply mining and machine learning methods in realistic applications, and they get involved in our research - in team projects and individual projects. Our courses can be found under Study.


 

News

Dates for LAST ATTEMPT exams

14.12.2023 -

The date for the LAST ATTEMPT exams are:

29.01.2024

- 13:30 

- 14:00

- 14:30

- 15:00 

- 15:30

- 16:00

02.02.2024

- 10:30

- 11:00

- 11:30

- 12:00

- 12:30

- 13:00


NOTE: Last attempt exams are offered exclusively for degrees that prescribe a last attempt, and state that this attempt must be an oral exam.

Important announcement regarding registration process:

In order to stay more compliant to the social distancing guidelines, the registration for the exam will be conducted slightly differently.

    Download, print, and fill out the examination registration form from the examination office. Fill all fields except the date and time.
    Submit the document to Mr. Knopke electronically Deadline 12.01.2024.
    The next available time slot will be assigned to you, and Mr. Knopke forwards the updated form to the examination office. You will be informed about the date and time for your exam.

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Klausureinsicht ITO

Liebe Studierende,

diejenigen unter euch, die ihre ITO Prüfung aus dem vergangenen Sommersemester einsehen möchten, können sich einen Termin am 08. November 2023 nehmen. Hierzu meldet ihr euch bitte per Mail bis zum 07. November 2023 bei Maik Büttner, um einen Termin für die Einsicht zu vereinbaren.

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Klausureinsicht DM4BA

Alle Studierenden, die ihre Prüfungen in DM4BA aus dem vergangenen Sommersemester einsehen möchten, können dies am 07. November 2023 tun. Diejenigen von Ihnen, die ihre Prüfungen einsehen möchten, werden gebeten, sich schriftlich bis zum 05. November 2023 an Miro Schleicher zu wenden, um einen persönlichen Termin zu vereinbaren.

Für eine Prüfungseinsicht ist ein Termin erforderlich. Die Termine werden am 07. November 2023 angeboten und sind nicht übertragbar.

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Software Projects Winter Semester 23/24

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Topics for Software Projects will be presented on the 19th of October in G29-020 at 11am.

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Team Projects Winter Term 23/24

Topics for Team Projects will be presented on the 19th of October in G29-020 at 11am.

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Registration and Voting

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Hallo liebe Studierende,

hier findet ihr die Erklärung, wie ihr euch für unsere Kurse registriert: Kursanmeldung

und hier die Erklärung zu unserem Votierungssystem: Votierung

Dear students,

You can find out how to register for an exercise here: Registration

and here you will learn how our voting procedure works: Voting

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Tutor*innen für Data Mining (DM4BA) gesucht

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Liebe Studierende, wir suchen für das Wintersemester 2023 noch nach 2 Tutor*innen für DM4BA. Wenn ihr also Ahnung von Data Mining und Machine Learning habt und euch das vorstellen könnt, dann meldet euch bei miro.schleicher@ovgu.de oder bei maik.buettner@ovgu.de.

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Last Modification: 16.06.2023 - Contact Person: