000			01799nam a2200229Ia 4500
008			210916s9999 xx 000 0 und d
020			_a9789380931913
082			_a006.312 _bHAN
100			_aHan, Jiawei _96510
245		0	_aData Mining : _bconcepts and techniques
250			_a3rd ed.
260			_aNew Delhi _bElsevier _c2012
300			_a703p.
520			_aData 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 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. This book is intended for Computer Science students, application developers, business professionals, and researchers who seek information on data mining.
650			_aArtificial Intelligence _9560
650			_aData Science _95167
650			_aData Analytics _95168
650			_aData mining _9399
700			_aKamber, Micheline _96511
700			_aPei, Jian _96512
942			_cBK
999			_c6957 _d6957