000			01519nam a2200313 i 4500
003			CSPC
005			20241125093813.0
008			241119s2020 flua b 001 0 eng d
020			_a9781032090856
040			_cCSPC _aCSPC _beng _erda
082	0	4	_a006.31 _bK955f _223
100	1		_aKuhn, Max, _eauthor.
245	1	0	_aFeature engineering and selection : _ba practical approach for predictive models / _cMax Kuhn and Kjell Johnson.
264		1	_aBoca Raton, Florida : _bCRC Press, an imprint of Taylor & Francis Group, _c2020.
300			_axv, 297 pages : _billustrations ; _c26 cm.
336			_atext _2rdacontent
337			_aunmediated _2rdamedia
338			_avolume _2rdacarrier
490			_aData science series
504			_aIncludes bibliographical references and index.
505	0		_aIntroduction -- Illustrative example: predicting risk of ischemic -- A review of the predictive modeling process -- Exploratory visualizations -- Encoding categorical predictors -- Engineering numeric predictors -- Detecting interaction effects -- Handling missing data -- Working with profile data -- Feature selection overview -- Greedy search methods -- Global search methods.
650		0	_aMachine learning.
650		0	_aPredictive analytics.
650		0	_aFeature engineering.
650		0	_aData mining.
700	1		_aJohnson, Kjell, _eauthor.
942			_2ddc _n0 _cBK _e23 _h006.31 _iK955f _kENG _m2020
999			_c28478 _d28478