000			02639nam a22003257i 4500
005			20251030140033.0
006			a|||||r|||| 00| 0
007			t|
008			250226s2022 |||||||| |||| 00| 0 spa d
020			_a9780123814791
040			_aCO-ViULL _erda _bspa
041			_heng
082	0		_223 _a005.741 _bH233d1
100	1		_aHan, Jiawei _9160793, _eautor. _4aut
245	1	0	_aData mining : _bconcepts and techniques.
250			_a4.
264		1	_aIndia : _bMorgan Kaufmann, _c2022.
300			_a752 páginas : _b: tables ; figuras.
336			_atexto _btxt _2rdacontent
337			_asin mediación _bn _2rdamedia
338			_avolumen _bnc _2rdacarrier
500			_aContents.
505	8		_aChapter 1: Introduction. -- 1.1. What is data mining? -- 1.2. Data mining: an essential step in knowledge Discovery. -- Chapter 2: Data, measurements, and data preprocessing. -- Chapter 3: Data warehousing and online analytical processing. -- Chapter 4: Pattern mining: basic concepts and methods. -- Chapter 5: Pattern mining: advanced methods. -- Chapter 6: Classification: basic concepts and methods. -- Chapter 7: Classification: advanced methods. -- Chapter 8: Cluster analysis: basic concepts and methods. -- Chapter 9: Cluster analysis: advanced methods. -- Chapter 10: Deep learning. -- Chapter 11: Outlier detection. -- Chapter 12: Data mining trends and research frontiers.
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. Concepts and methods for deep learning are systematically introduced as one chapter. Finally, the book covers the trends, applications, and research frontiers in data mining.
650		0	_aData mining _9160773.
650		0	_aComputer science _9160794.
700	1		_aPei, Jian _9160796.
700	1		_aTong, Hanghang _9164158.
942			_2ddc _cBK
999			_c48276 _d48276