Data Mining: Study Guide

The methodological foundations and mathematical apparatus of data mining are considered. The main algorithms for solving the most common data mining tasks are presented—classification, regression, clustering, and association rule mining. All topics are supported with examples illustrating the key concepts and algorithms, and are accompanied by review questions and assignments for independent study.

Intended for master level students in the field of Information Technologies and other technical specialties.