Advanced Topics in Knowledge Management and Discovery


DayTimeFrequencyPeriodRoomLecturerRemarksMax. participants
Seminar - Seminar - Dates/Times/Location:
Mon. 13:00 bis 15:00 weekly   Hielscher ,
Spiliopoulou Lehrpreisträger/-in ,

Overview (from LSF)

Learning Content


In this master seminar, advanced topics in knowledge management and discovery (data mining, machine learning, ...) will be presented and discussed.

  • Adaptive Classification (Concept/Population Drift, Change Mining, Semi-Supervised and Active Learning, Learner-Induced Drift, Learning under Latency, Adversarial Machine Learning)
  • Adaptive Clustering
  • Sentiment/Opinion Mining (Sentiment Classification, Feature-based Opinion Mining, Sentiment Lexicons, Sentiment Summarization)
  • Recommendation Systems
  • Mining in Health Care / Neurobiological Data


What you will learn

Each participant has to pick a topic out of a pool of topic from their respective supervisor. The topics encompass one till two research papers. Based on the paper(s) the student has to pick a third one by his own. To guide the student while reading the papers, we are going to provide a list of questions which have to be answered for each paper. That lists have to be submitted by the review due (cf. timline). Feedback towards the reviews is provided by us afterwards. According to the feedback you start writing a small survey (3 pages) of the read papers. Each student has to give a presentation of 15-20 minutes where he/she compares the papers and also explaines the main contributions of the papers.



Our list of topics will be presented at the begining of the semester (cf. our website for details). 


Seminar topics will be assigned by the supervisors. Please contact Tommy Hielscher for further information.


Recent publications on advanced topics in knowledge management and discovery (data mining, machine learning,  ...)

Target Group

Master students in informatics or in related studies who have already attended and presented at a (bachelor) seminar.

Course Material



Last Modification: 17.10.2017 - Contact Person:

Sie können eine Nachricht versenden an: M.Sc. Tommy Hielscher