000			01768cam a22002894a 4500
999			_c2926 _d2926
003			OSt
005			20200306121219.0
008			140124b2007 ii ||||g |||| 001 0 eng d
020			_a9788126517589 (pbk)
035			_a70673309
040			_cNCL _dLIN2019
050	0	0	_aHF5548.2 _b.S44843 2007
082	0	0	_a005.54 _222 _bSHM-D 2012 4375
100	1		_aShmueli, Galit, _d1971-
245	1	0	_aData mining for business intelligence : _bconcepts, techniques, and applications in Microsoft Office Excel with XLMiner / _cby Galit Shmueli, Nitin R. Patel, Peter C. Bruce.
260			_aNew Delhi. : _bWiley-Interscience, _cc2007.
300			_axviii, 279 p. : _bill. ; _c26 cm.
504			_aIncludes bibliographical references (p. 271-272) and index.
505			_aCHAPTER 1: Introduction ---------------------- CHAPTER 2: Overview of data mining process --------------------- CHAPTER 3: Data exploration and Dimension reduction ------------------------- CHAPTER 4: Evaluating Classification and predictive performance ---------------------- CHAPTER 5: Multiple linear regression --------------------- CHAPTER 6: Three simple classification method --------------------- CHAPTER 7: Classification and regression trees ---------------------- CHAPTER 8: Logistic regression ---------------------- CHAPTER 9: Neural nets ------------------- CHAPTER 10: Discriminant analysis --------------------- CHAPTER 11: Association rules ----------------------- CHAPTER 12: Cluster analysis ----------------------
630	0	0	_aMicrosoft Excel (Computer file)
650		0	_aBusiness _xData processing.
650		0	_aData mining.
650		0	_aBusiness intelligence.
700	1		_aPatel, Nitin R. _q(Nitin Ratilal)
700	1		_aBruce, Peter C., _d1953-
942			_2ddc _cBK