000			01669cam a22003617a 4500
001			16107203
003			KPTM
005			20151217120118.0
008			100225s2010 njua b 001 0 eng
010			_a 2010005152
016	7		_a015562262 _2Uk
020			_a9780470526828
040			_aDLC _cDLC
050	0	0	_aHF5548.2 _b.S558 2010
082	0	0	_a005.54 _222
100	1		_aShmueli, Galit, _d1971-
245	1	0	_aData mining for business intelligence : _bconcepts, techniques, and applications in Microsoft Office Excel with XLMiner / _cGalit Shmueli, Nitin R. Patel, Peter C. Bruce.
260			_aHoboken, N.J. : _bWiley, _cc2010.
300			_axxiv, 404 p. : _bill. ; _c26 cm.
504			_aIncludes bibliographical references and index.
505	0		_aIntroduction -- Overview of the data mining process -- Data visualization -- Dimension reduction -- Evaluating classification and predictive performance -- Multiple linear regression -- knearest neighbors (kNN) -- Naive bayes -- Classification and regression trees -- Logistic regression -- Neural nets -- Discriminant analysis -- Association rules -- Cluster Analysis -- Handling time series -- Regression-based forecasting -- Smoothing methods -- Cases.
630	0	0	_aMicrosoft Excel (Computer file)
650		0	_aBusiness _xData processing.
650		0	_aData mining.
650	1	7	_aDatamining. _2gtt
650	1	7	_aDataprocessing. _2gtt
650	1	7	_aStatistiek. _2gtt
700	1		_aPatel, Nitin R. _q(Nitin Ratilal)
700	1		_aBruce, Peter C., _d1953-
906			_a7 _bcbc _corigcop _d2 _encip _f20 _gy-gencatlg
942			_2lcc _cBK
999			_c13835 _d13835