IT training spectral feature selection for data mining zhao liu 2011 12 14

➤ Gửi thông báo lỗi ⚠️ Báo cáo tài liệu vi phạm

Loại tài liệu: PDF

Số trang: 216 Trang

Tài liệu: ✅ ĐÃ ĐƯỢC PHÊ DUYỆT

TẢI VỀ

Nội dung chi tiết: IT training spectral feature selection for data mining zhao liu 2011 12 14

IT training spectral feature selection for data mining zhao liu 2011 12 14

Chapman & Hall/CRCData Mining and Knowledge Discovery SeriesSpectral Feature Selection for Data MiningZheng Alan Zhao and Huan LiuCRC PressTaylor & Fr

IT training spectral feature selection for data mining zhao liu 2011 12 14rancis GroupA CHAPMAN & HALL BOOKSpectral Feature Selection for Data MiningChapman & Hall/CRCData Mining and Knowledge Discovery SeriesSERIES EDITORVi

pin Kumar University of Minnesota Department of Computer Science and Engineering Minneapolis, Minnesota, U.S.AAIMS AND SCOPEThis series aims to captur IT training spectral feature selection for data mining zhao liu 2011 12 14

e new developments and applications in data mining anti knowledge discovery, w hile summarizing the computational tools and techniques useful in data

IT training spectral feature selection for data mining zhao liu 2011 12 14

analy sis. This series encourages the integration of mathematical, statistical, and computational methods and techniques through the publication of a

Chapman & Hall/CRCData Mining and Knowledge Discovery SeriesSpectral Feature Selection for Data MiningZheng Alan Zhao and Huan LiuCRC PressTaylor & Fr

IT training spectral feature selection for data mining zhao liu 2011 12 14eries includes, but is not limited to. titles in the areas ol data mining and knowledge discovery methods and applications, modeling, algorithms, theo

ry and foundations, data and knowledge visualization, data mining systems and tools, and privacy and security issues.PUBLISHED TITLESl IM )K RS IA NI IT training spectral feature selection for data mining zhao liu 2011 12 14

)l Nt. ( () VI PI I X I)AI ASK IS: DATA MINING WITH MATRIX DECOMPOSITIONS Das id Skillicorn< ()MPl 11AI It )N AI Ml I Hi >1 )S ()l I K A H IRE SKI EC

IT training spectral feature selection for data mining zhao liu 2011 12 14

I ION Huan I ill and Hiroshi Molodac :t>NS I R AIM I) t 11 IS I I RI NG: A I )V A N( KSIN ALGORTTI IMS. THEORY. AND APPLICATIONS Sugalo Basu, Ian Davi

Chapman & Hall/CRCData Mining and Knowledge Discovery SeriesSpectral Feature Selection for Data MiningZheng Alan Zhao and Huan LiuCRC PressTaylor & Fr

IT training spectral feature selection for data mining zhao liu 2011 12 14 I KM AI It INTRODUCTION IO COM KPIS AND IHKORY Zhongfci Zhang and Ruofci ZhangNEXT GENERATION OF DATA MININGHillol Kargupta, Jiawei Han. Philip s. Yu

, Rajees Motwani. and Vipin KumarDATA MINING, FC IR DESIGN AND MARKETING Yukio Ohsawa and Katsutoshi YadaTHE TOP TEN ALGORITHMS IN DATA MINING Xindong IT training spectral feature selection for data mining zhao liu 2011 12 14

Wu and Vipin KumarGECXZRAPHIC DATA MINING ANDKNOWLEDGE DISCOVERY. SECOND EDITH)NHarvey J. Miller and Jiawei HanTEXT MINING: CLASSTHCATION, CLUSTERING

IT training spectral feature selection for data mining zhao liu 2011 12 14

. AND APPLICATIONSAshok N. Srivastava and Mehran SahatniBIOLOGICAL DATA MININGlake Y. Chen and Stefano LonardiINFORMATION DISCOVERY ON ELECTRONIC HEAL

Chapman & Hall/CRCData Mining and Knowledge Discovery SeriesSpectral Feature Selection for Data MiningZheng Alan Zhao and Huan LiuCRC PressTaylor & Fr