HOME > Detail View

Detail View

Spectral feature selection for data mining

Spectral feature selection for data mining (Loan 3 times)

Material type
단행본
Personal Author
Zhao, Zheng (Zheng Alan) Liu, Huan, 1958-.
Title Statement
Spectral feature selection for data mining / Zheng Alan Zhao, Huan Liu.
Publication, Distribution, etc
Boca Raton, FL :   CRC Press,   c2012.  
Physical Medium
xv, 195 p., [8] p. of plates : ill. (some col.) ; 25 cm.
Series Statement
Chapman & Hall/CRC data mining and knowledge discovery series
ISBN
9781439862094 (hardcover : alk. paper) 1439862095 (hardcover : alk. paper)
Bibliography, Etc. Note
Includes bibliographical references and index.
Subject Added Entry-Topical Term
Data mining.
000 01148camuu2200301 a 4500
001 000045750345
005 20130503101947
008 130503s2012 fluaf b 001 0 eng
010 ▼a 2011041746
020 ▼a 9781439862094 (hardcover : alk. paper)
020 ▼a 1439862095 (hardcover : alk. paper)
035 ▼a (KERIS)REF000016851122
040 ▼a DLC ▼c DLC ▼d YDX ▼d BTCTA ▼d UKMGB ▼d YDXCP ▼d BWX ▼d CDX ▼d DLC ▼d 211009
050 0 0 ▼a QA76.9.D343 ▼b Z53 2012
082 0 0 ▼a 006.3/12 ▼2 23
084 ▼a 006.312 ▼2 DDCK
090 ▼a 006.312 ▼b Z63s
100 1 ▼a Zhao, Zheng ▼q (Zheng Alan)
245 1 0 ▼a Spectral feature selection for data mining / ▼c Zheng Alan Zhao, Huan Liu.
260 ▼a Boca Raton, FL : ▼b CRC Press, ▼c c2012.
300 ▼a xv, 195 p., [8] p. of plates : ▼b ill. (some col.) ; ▼c 25 cm.
490 1 ▼a Chapman & Hall/CRC data mining and knowledge discovery series
504 ▼a Includes bibliographical references and index.
650 0 ▼a Data mining.
700 1 ▼a Liu, Huan, ▼d 1958-.
830 0 ▼a Chapman & Hall/CRC data mining and knowledge discovery series.
945 ▼a KLPA

Holdings Information

No. Location Call Number Accession No. Availability Due Date Make a Reservation Service
No. 1 Location Science & Engineering Library/Sci-Info(Stacks2)/ Call Number 006.312 Z63s Accession No. 121225055 Availability Available Due Date Make a Reservation Service B M

Contents information

Table of Contents

Data of High Dimensionality and ChallengesDimensionality Reduction TechniquesFeature Selection for Data MiningSpectral Feature SelectionOrganization of the Book Univariate Formulations for Spectral Feature SelectionModeling Target Concept via Similarity Matrix The Laplacian Matrix of a GraphEvaluating Features on the Graph An Extension for Feature Ranking Functions Spectral Feature Selection via RankingRobustness Analysis for SPECDiscussions Multivariate Formulations The Similarity Preserving Nature of SPECA Sparse Multi-Output Regression FormulationSolving the L2,1-Regularized Regression ProblemEfficient Multivariate Spectral Feature SelectionA Formulation Based on Matrix Comparison Feature Selection with Proposed Formulations Connections to Existing AlgorithmsConnections to Existing Feature Selection Algorithms Connections to Other Learning ModelsAn Experimental Study of the AlgorithmsDiscussions Large-Scale Spectral Feature SelectionData Partitioning for Parallel Processing MPI for Distributed Parallel ComputingParallel Spectral Feature SelectionComputing the Similarity Matrix in ParallelParallelization of the Univariate Formulations Parallel MRSFParallel MCSF Discussions Multi-Source Spectral Feature SelectionCategorization of Different Types of KnowledgeA Framework Based on Combining Similarity MatricesA Framework Based on Rank AggregationExperimental ResultsDiscussions References Index


Information Provided By: : Aladin

New Arrivals Books in Related Fields

Baumer, Benjamin (2021)
데이터분석과인공지능활용편찬위원회 (2021)
Harrison, Matt (2021)