LEADER 03211nam 22007933 450 001 9910316451103321 005 20241107095306.0 010 $a9786613908575 010 $a9781000023077 010 $a1000023079 010 $a9780429107191 010 $a0429107196 010 $a9781283596121 010 $a1283596121 010 $a9781439862100 010 $a1439862109 024 7 $a10.1201/b11426 035 $a(CKB)2550000000079286 035 $a(EBL)830232 035 $a(OCoLC)773311146 035 $a(SSID)ssj0000580573 035 $a(PQKBManifestationID)11374600 035 $a(PQKBTitleCode)TC0000580573 035 $a(PQKBWorkID)10607449 035 $a(PQKB)10279946 035 $a(MiAaPQ)EBC830232 035 $a(ScCtBLL)4895e3cf-d91f-4079-b2ca-734762788389 035 $a(CaSebORM)9781439862100 035 $a(MiAaPQ)EBC7245454 035 $a(Au-PeEL)EBL7245454 035 $a(OCoLC)817812230 035 $a(ODN)ODN0004679216 035 $a(EXLCZ)992550000000079286 100 $a20231110d2012 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aSpectral feature selection for data mining /$fZheng Alan Zhao, Huan Liu 205 $a1st ed. 210 $d2011 210 1$aBoca Raton, FL :$cCRC Press,$d[2012] 210 4$dİ2012 215 $a1 online resource (216 p.) 225 1 $aChapman & Hall/CRC data mining and knowledge discovery series 300 $a"A Chapman & Hall book." 311 08$a9781138112629 311 08$a1138112623 311 08$a9781439862094 311 08$a1439862095 320 $aIncludes bibliographical references and index. 327 $aFront Cover; Dedication; Contents; Preface; Authors; Symbol Description; 1. 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; References 330 $aSpectral Feature Selection for Data Mining introduces a novel feature selection technique that establishes a general platform for studying existing feature selection algorithms and developing new algorithms for emerging problems in real-world applications. This technique represents a unified framework for supervised, unsupervised, and semisupervised feature selection. The book explores the latest research achievements, sheds light on new research directions, and stimulates readers to make the next creative breakthroughs. It presents the intrinsic ideas behind spectral feature selection, its th 410 0$aChapman & Hall/CRC data mining and knowledge discovery series. 606 $aData mining 615 0$aData mining. 676 $a006.3/12 676 $a006.312 686 $aBUS061000$aCOM000000$aCOM012040$2bisacsh 700 $aZhao$b Zheng$g(Zheng Alan),$0918257 702 $aLiu$b Huan$f1958- 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910316451103321 996 $aSpectral feature selection for data mining$94156481 997 $aUNINA