000			01368cam a22003498a 4500
001			16107203
005			20171004020040.0
007			Hard bound
008			100225s2010 nju b 001 0 eng
010			_a 2010005152
020			_a9780470526828
040			_aDLC _cDLC
050	0	0	_aHF5548.2 _b.S44843 2010
082	0	0	_a005.54 _222 _bSH-D
100	1		_aShmueli, Galit _d1971-
100	1		_aPatel, Nitin R
100	1		_aBruce, Peter C
245	1	0	_aData mining for business intelligence _bconcepts, techniques and applications in microsoft office excel with XLMiner
250			_a2nd
260			_aNew Jersey _bJohn Wiley _c2010
263			_a1007
300			_axxiv,404p.
504			_aIncludes bibliographical references and index.
505	0		_aWhat is data mining? -- Overview of the data mining process -- Data visualization -- Dimension reduction -- Evaluating classification and predictive performance -- Multiple linear regression -- knearest neighbors (kNN) -- Na've bayes -- Classification and regression trees -- Logistic regression.
630	0	0	_aMicrosoft Excel (Computer file)
650		0	_aBusiness _xData processing.
650		0	_aData mining.
906			_a7 _bcbc _corignew _d1 _eecip _f20 _gy-gencatlg
942			_2ddc _cBK _06
999			_c11261 _d11261