000			04172cam a2200745Ki 4500
001			ocn773311146
003			OCoLC
005			20210822113955.0
006			m d
007			cr cnu---unuuu
008			120119s2012 flua ob 001 0 eng d
040			_aN$T _beng _epn _erda _cN$T _dYDXCP _dE7B _dEBLCP _dGZM _dMHW _dOTZ _dCDX _dOCLCO _dOCLCQ _dOCLCF _dUMI _dDEBBG _dOCLCQ _dCRCPR _dOCLCQ _dDEBSZ _dOCLCQ _dCOO _dOCLCQ _dVGM _dMERUC _dERL _dUAB _dOCLCQ _dCEF _dNLE _dAU@ _dOCLCQ _dUKMGB _dWYU _dYDX _dTYFRS _dLEAUB _dOCLCQ _dOAPEN _dUKKNU
015			_aGBB7A5012 _2bnb
016	7		_a018380437 _2Uk
016	7		_a015879400 _2Uk
019			_a809977276 _a880637655 _a957185792 _a957302517 _a1031046447 _a1058518632 _a1066008544
020			_a9781439862100 _q(electronic bk.)
020			_a1439862109 _q(electronic bk.)
020			_a9781439862094 _q(electronic bk.)
020			_a1439862095 _q(electronic bk.)
024	8		_a9786613908575
024	8		_a99947708025
035			_a416774 _b(N$T)
035			_a(OCoLC)773311146 _z(OCoLC)809977276 _z(OCoLC)880637655 _z(OCoLC)957185792 _z(OCoLC)957302517 _z(OCoLC)1031046447 _z(OCoLC)1058518632 _z(OCoLC)1066008544
037			_a390857 _bMIL
037			_a102700 _bKnowledge Unlatched
072		7	_aCOM _x021030 _2bisacsh
072		7	_aUNF _2bicssc
082	0	4	_a006.3/12 _223
049			_aMAIN
100	1		_aZhao, Zheng _q(Zheng Alan), _eauthor _94546
245	1	0	_aSpectral feature selection for data mining / _cZheng Alan Zhao, Huan Liu.
264		1	_aBoca Raton, FL : _bCRC Press, _c©2012.
300			_a1 online resource (xv, 195 pages) : _billustrations (some color).
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
490	1		_aChapman & Hall/CRC data mining and knowledge discovery series
504			_aIncludes bibliographical references and index.
588	0		_aPrint version record.
520			_aSpectral Feature Selection for Data Mining introduces a novel feature selection technique that establishes a general platform for studying existing feature selection algorithms and developing new algorithms for emerging problems in real-world applications. This technique represents a unified framework for supervised, unsupervised, and semisupervised feature selection. The book explores the latest research achievements, sheds light on new research directions, and stimulates readers to make the next creative breakthroughs. It presents the intrinsic ideas behind spectral feature selection, its th.
505	0		_a1. Data of high dimensionality and challenges -- 2. Univariate formulations for spectral feature selection -- 3. Multivariate formulations -- 4. Connections to existing algorithms -- 5. Large-scale spectral feature selection -- 6. Multi-source spectral feature selection.
542	1		_fThis work is licensed under a Creative Commons license _uhttps://creativecommons.org/licenses/by-nc-nd/4.0/legalcode
590			_aMaster record variable field(s) change: 072
650		0	_aData mining. _94547
650		7	_aCOMPUTERS _xDatabase Management _xData Mining. _2bisacsh _94548
650		7	_aData mining. _2fast _0(OCoLC)fst00887946 _94547
650		7	_aData mining. _2bicssc _94547
655		0	_aElectronic book. _92185
655		4	_aElectronic books. _9313
700	1		_aLiu, Huan, _d1958- _94549
776	0	8	_iPrint version: _aZhao, Zheng (Zheng Alan). _tSpectral feature selection for data mining. _dBoca Raton, FL : CRC Press, 2012 _z9781439862094 _w(DLC) 2011041746 _w(OCoLC)668197244
830		0	_aChapman & Hall/CRC data mining and knowledge discovery series. _94550
856	4	0	_3EBSCOhost _uhttps://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=416774
938			_aOAPEN Foundation _bOPEN _n1004820
938			_aTaylor & Francis _bTAFR _n9780429107191
938			_aYBP Library Services _bYANK _n15918178
938			_aCoutts Information Services _bCOUT _n23412993
938			_aTaylor & Francis _bTAFR _nCAH0KE13048PDF
938			_aEBL - Ebook Library _bEBLB _nEBL830232
938			_aebrary _bEBRY _nebr10522533
938			_aYBP Library Services _bYANK _n7083579
942			_cEBK
994			_a92 _bN$T
999			_c890 _d890