Data Mining Concepts and Techniques

Provides the concepts and techniques in processing gathered data or information, which will be used in various applications. Specifically, it explains data mining and the tools used in discovering knowledge from the collected data. This book is referred as the knowledge discovery from data (KDD). It...

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Bibliographic Details
Main Authors: Han, Jiawei (Author), Kamber, Micheline (Author), Jian, Pei (Author)
Format: Book
Language:English
Published: San Francisco Morgan Kaufmann 2012
Edition:Third Edition
Series:Morgan Kaufmann series in data management systems.
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Summary:Provides the concepts and techniques in processing gathered data or information, which will be used in various applications. Specifically, it explains data mining and the tools used in discovering knowledge from the collected data. This book is referred as the knowledge discovery from data (KDD). It focuses on the feasibility, usefulness, effectiveness, and scalability of techniques of large data sets. After describing data mining, this edition explains the methods of knowing, preprocessing, processing, and warehousing data. It then presents information about data warehouses, online analytical processing (OLAP), and data cube technology. Then, the methods involved in mining frequent patterns, associations, and correlations for large data sets are described. The book details the methods for data classification and introduces the concepts and methods for data clustering. The remaining chapters discuss the outlier detection and the trends, applications, and research frontiers in data mining.
Item Description:"This 3rd edition presents dozens of algorithms and implementation examples, all in pseudo-code and suitable for use in real-world, large-scale data mining projects. It addresses advanced topics such as mining object-relational databases, spatial databases, multimedia databases, time-series databases, text databases, the World Wide Web, and applications in several fields. The work also provides a comprehensive, practical look at the concepts and techniques you need to get the most out of your data."--The Publisher.
Physical Description:xxxv, 703 pages illustrations 25 cm
Bibliography:Includes bibliographical references and index
ISBN:9780123814791