This book touches various issues of data mining principles. It covers most of the topics needed to meet the requirements of modern data and knowledge engineering processes. It provides not only theoretical introduction, but also application aspects of data mining using numerous examples. End-of-chapter exercises give an opportunity for the readers to apply the learned algorithms to real-world problems. Many techniques introduced in the book can be applied to enhance business intelligence processes. Further, each chapter concludes with a bibliographic notes and bibliography for the reader?s reference. Thus, it brings to life the theories and practices fundamental to the design of intelligent data management systems by offering a unique approach to understanding how data mining techniques can be used in real-world problems for intelligent data analytics.

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