000			01852cam a22002897i 4500
001			23079415
005			20250630112659.0
008			230424s2023 mau b 001 0 eng d
020			_a9780128117606
040			_aCSL _cCSL
041			_2eng _aeng
084			_aD65,8(B),27 P1;R3 _qCSL
100	1		_aHan, Jiawei _eauthor.
245	1	0	_aData mining _b: Concepts and techniques
250			_a4th ed.
260			_aCambridge : _bMorgan Kaufmann is an imprint of Elsevier, _c2023.
300			_axxix, 752 p. _b: ill. _c; 24 cm.
500			_aIncludes bibliographical references and index.
520			_aData Mining: Concepts and Techniques, Fourth Edition introduces concepts, principles, and methods for mining patterns, knowledge, and models from various kinds of data for diverse applications. Specifically, it delves into the processes for uncovering patterns and knowledge from massive collections of data, known as knowledge discovery from data, or KDD. It focuses on the feasibility, usefulness, effectiveness, and scalability of data mining techniques for large data sets. After an introduction to the concept of data mining, the authors explain the methods for preprocessing, characterizing, and warehousing data. They then partition the data mining methods into several major tasks, introducing concepts and methods for mining frequent patterns, associations, and correlations for large data sets; data classificcation and model construction; cluster analysis; and outlier detection.
650		0	_aData mining.
650		0	_aCluster analysis. _9475775
650		0	_aMachine learning. _9480917
650		0	_aClassification. _9229842
700	1		_aPei, Jian _eco-author.
700	1		_aTong, Hanghang _eco-author. _9814882
942			_2CC _cTEXL _e4th ed. _h9780128117606 _n0
999			_c1433103 _d1433103