000			02112nam a2200385Ia 4500
005			20250930135351.0
008			140325s2013 caua b 001 0 eng
020			_a1449361323 (pbk.)
020			_a9781449361327 (pbk.) _cRM108.45
039		9	_a201408150922 _brosli _c201408121129 _dbinar _y03-25-2014 _zbinar
040			_aYDXCP _cYDXCP _dBDX _dUKMGB _dBTCTA _dDPL _dEGM _dZCU _dFJD _dVP@ _dOCLCF _dKMS _dMNA _dUKM
090			_aQA76.9.D343P736 3
090			_aQA76.9.D343 _bP736 3
100	1		_aProvost, Foster, _d1964-
245	1	0	_aData science for business : _b[what you need to know about data mining and data-analytic thinking] / _cFoster Provost and Tom Fawcett.
246	3	4	_aWhat you need to know about data mining and data-analytic thinking
260			_aSebastopol, Calif. : _bO'Reilly, _c2013.
300			_axviii, 386 p. : _bill. ; _c24 cm.
500			_aSubtitle from cover.
504			_aIncludes bibliographical references (p. 359-366) and index.
505	0		_aIntroduction : data-analytic thinking -- Business problems and data science solutions -- Introduction to predictive modeling : from correlation to supervised segmentation -- Fitting a model to data -- Overfitting and its avoidance -- Similarity, neighbors, and clusters -- Decision analytic thinking I : what is a good model? -- Visualizing model performance -- Evidence and probabilities -- Representing and mining text -- Decision analytic thinking II : toward analytical engineering -- Other data science tasks and techniques -- Data science and business strategy -- Conclusion.
650		0	_aData mining.
650		0	_aBig data.
650		0	_aInformation science. _960033
650		0	_aBusiness _xData processing.
700	1		_aFawcett, Tom.
907			_a.b15857128 _b2019-11-12 _c2019-11-12
942			_c01 _n0 _kQA76.9.D343P736 3
914			_avtls003554598
990			_ark4
991			_aFakulti Teknologi dan Sains Maklumat
998			_al _b2014-12-03 _cm _da _feng _gcau _y0 _z.b15857128
999			_c565607 _d565607