000			01576cam a22002655a 4500
001			12300717
005			20161123180725.0
008			141030t2014 njua frb 001 0 eng d
020			_z9780470908747
040			_aCtWfDGI _beng _cCtWfDGI _dEG-ScBUE
082	0	4	_a006.312 _222 _bLAR
100	1		_aLarose, Daniel T.
245	1	0	_aDiscovering knowledge in data : _ban introduction to data mining, second edition / _cDaniel T. Larose, Chantal D. Larose.
250			_a2nd ed.
260			_aHoboken : _bJohn Wiley & Sons : _bIEEE Computer Society, _cc.2014.
300			_axviii, 316 p. : _bill. ; _c24 cm.
490	0		_aWiley series on methods and applications in data mining
504			_aIncludes bibliographical references and index.
520			_aThis book provides the tools needed to thrive in today's big data world. The author demonstrates how to leverage a company's existing databases to increase profits and market share, and carefully explains the most current data science methods and techniques. The reader will "learn data mining by doing data mining". By adding chapters on data modelling preparation, imputation of missing data, and multivariate statistical analysis, the second edition remains the eminent reference on data mining. It offers an appendix on data summarization and visualization as well as extensive coverage of the R statistical programming language as well as 280 end-of-chapter exercises. --
650		7	_aData mining. _2BUEsh _927695
651			_2BUEsh
653			_bCOMSCI _cNovember2016
700	1		_aLarose, Chantal D.
942			_2ddc
999			_c23298 _d23270