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

Postgraduate doctoral study programme

Literature

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, Mark A. Hall, Christopher J. Pall (2017.), Data Mining, Practical Machine Learning Tools and Techniques, Morgan Kaufmann

General

ID 154839
  Winter semester
6 ECTS
L1 English Level
L1 e-Learning