Students know the theory and practice of discovering patterns hidden in large data sets.

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Contents of the course:



Introduction to data mining

Different technologies of data mining

Data objects and visualization

Measuring data similarity

Data processing

Data Warehousing

Data Cube technologies

Cluster Analysis

Programming techniques

Jiawei Han , Micheline Kamber, Jian Pei, Data Mining: Concepts and Techniques, Morgan Kaufmann; 3 edition, 2011

Ian H. Witten, Eibe Frank, Mark A. Hall, Data Mining: Practical Machine Learning Tools and Techniques, Morgan Kaufmann; 3 edition, 2011

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Final examination