Knowledge discovery in data sets

Course Description

Symbolic and numeric methods of discovering structural patterns in data sets. Symbolic knowledge discovery: concepts, examples and attributes. Preparing the input data sets. Output knowledge representation. Knowledge discovery algorithms. Evaluation of results. Fundamentals of statistical data handling and graphical representation. Prediction, grouping and classification using multivariate techniques. Application in business, engineering, and medicine domain.

Study Programmes

Post-graduation study


Jiawei Han, Micheline Kamber, Jian Pei (2011.), Data Mining: Concepts and Techniques, 3rd edition, Morgan Kaufmann
Subhash Sharma (1995.), Applied multivariate techniques, John Wiley & Sons
Mark Hall, Ian W. Witten, Eibe Frank (2011.), Data Mining, Morgan Kaufmann


ID 154839
  Winter semester
L1 English Level
L1 e-Learning