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Data Mining: Concepts and Techniques provides the most comprehensive and detailed introduction and overview of data mining and knowledge discovery in databases. This introductory book details the concepts and techniques that help the reader discover interesting and useful patterns in data. It is written for students and practitioners who want to learn the concepts and techniques that drive data mining. The book covers the key data mining topics, including data preprocessing, association rule mining, classification, clustering, outlier analysis, and applications. The authors present the material in a clear and concise manner, with numerous examples and exercises to help the reader understand the concepts. The book also includes a discussion of ethical considerations in data mining.
This book explores the fundamental principles and techniques of data mining. It provides a comprehensive overview of the field, covering essential concepts such as data preprocessing, pattern discovery, and knowledge representation. The text aims to equip readers with the theoretical understanding and practical skills needed to extract valuable insights from large datasets.
The book is recognized as a foundational text in the field of data mining, often cited for its clear explanations of complex algorithms and its structured approach to the subject. Its comprehensive coverage makes it a valuable resource for students and practitioners seeking to understand the theoretical underpinnings and practical applications of extracting knowledge from data. The text is generally regarded as a solid introduction to the discipline.
Page Count:
325
Publication Date:
1999-01-01
ISBN-10:
0130862711
ISBN-13:
9780130862716
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