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.

Study Programmes

Post-graduation study

Grading System

ID 11485
  Winter semester