000			02170cam a22004578i 4500
001			22984839
003
005			20260226122532.0
008			230223s2023 nju b 001 0 eng
010			_a 2023007179
020			_a978-1-119-82983-6
020			_a1119829836
035			_a22984839
040			_aDLC _beng _erda _cDLC
041			_aeng
042			_apcc
050	0	0	_aHF5548.2 _b.S44843 2023
082	0	0	_a650.0727 M1497 2023 _223/eng/20230223
100	1		_aShmueli, Galit, _d1971- _eauthor.
240	1	0	_aData mining for business intelligence
245	1	0	_aMachine learning for business analytics : _bconcepts, techniques, and applications with Analytic Solver Data Mining / _cGalit Shmueli, Peter C. Bruce, Kuber R. Deokar, Nitin R. Patel.
250			_aFourth edition.
263			_a2307
264		1	_aHoboken, NJ : _bJohn Wiley & Sons, Inc., _c2023.
300			_axxvii, 589 pages ; _c26 cm
336			_atext _btxt _2rdacontent
337			_aunmediated _bn _2rdamedia
338			_avolume _bnc _2rdacarrier
500			_aEarlier editions published as: Data mining for business intelligence, and: Data mining for business analytics.
504			_aIncludes bibliographical references and index.
520			_a"This book provides comprehensive information on data analytics. It begins with a preliminary introduction and overview of the data mining process in Part I. In Part II the authors move on to discuss data exploration and dimension reduction. Part III covers performance evaluation and Part IV goes into prediction and classification methods. Part V shows how mining relationships among records are determined before the book moves to forecasting time series in Part VI. The book closes with a more in-depth look at data analytics in Part VII and case studies in Part VIII"-- _cProvided by publisher.
526			_a600-699
650		0	_aBusiness _xData processing.
650		0	_aData mining.
700	1		_aBruce, Peter C.
700	1		_aDeokar, Kuber R.
700	1		_aPatel, Nitin R.
906			_a7 _bcbc _corignew _d1 _eecip _f20 _gy-gencatlg
942			_2ddc _cB
999			_c40642 _d40642