Spectral Feature Selection for Data Mining

Spectral 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 framewo...

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Prif Awduron: Zhao, Zheng Alan, Liu, Huan
Fformat: Online
Iaith:Saesneg
Cyhoeddwyd: Taylor & Francis 2025
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Mynediad Ar-lein:ONIX_20250422_9781439862100_21
Tagiau: Ychwanegu Tag
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author Zhao, Zheng Alan
Liu, Huan
author_browse Liu, Huan
Zhao, Zheng Alan
author_facet Zhao, Zheng Alan
Liu, Huan
author_sort Zhao, Zheng Alan
collection Directory of Open Access Books
description Spectral 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 semisupervise
format Online
id doab-20.500.12854ir-158729
institution Directory of Open Access Books
language eng
publishDate 2025
publishDateRange 2025
publishDateSort 2025
publisher Taylor & Francis
publisherStr Taylor & Francis
record_format ojs
spelling doab-20.500.12854ir-1587292025-07-29T14:19:08Z Spectral Feature Selection for Data Mining Zhao, Zheng Alan Liu, Huan Feature Selection Algorithms Feature Selection Spectral Feature Selection Multivariate Formulations data mining Data Set machine learning Fisher Score dimensionality reduction Laplacian Matrix Similarity Matrix feature extraction high-dimensional data processing Redundant Features Existing Feature Selection Normalized Laplacian Matrix Rank Aggregation F2 F3 F4 F5 F6 Feature Selection Techniques F1 F2 F3 F4 F5 TIMP Metallopeptidase Inhibitor Gene Selection Computer Nodes microRNA Microarray LDA thema EDItEUR::U Computing and Information Technology::UY Computer science thema EDItEUR::U Computing and Information Technology::UN Databases::UNF Data mining thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TJ Electronics and communications engineering::TJF Electronics engineering::TJFM Automatic control engineering thema EDItEUR::P Mathematics and Science::PB Mathematics::PBT Probability and statistics Spectral 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 semisupervise 2025-04-23T06:45:32Z 2025-04-23T06:45:32Z 2025-04-22T11:38:46Z 2011 book ONIX_20250422_9781439862100_21 ONIX_20250422_9781439862100_21a https://library.oapen.org/handle/20.500.12657/101027 9781439862100 9781138112629 9781439862094 9781000023046 9780429107191 9781000023077 https://directory.doabooks.org/handle/20.500.12854/158729 eng Chapman & Hall/CRC Data Mining and Knowledge Discovery Series open access image/jpeg image/jpeg Attribution-NonCommercial-NoDerivatives 4.0 International Attribution-NonCommercial-NoDerivatives 4.0 International https://library.oapen.org/bitstream/20.500.12657/101027/1/9781439862100.pdf https://library.oapen.org/bitstream/20.500.12657/101027/1/9781439862100.pdf Taylor & Francis Chapman and Hall/CRC 10.1201/b11426 10.1201/b11426 fa69b019-f4ee-4979-8d42-c6b6c476b5f0 Knowledge Unlatched b818ba9d-2dd9-4fd7-a364-7f305aef7ee9 9781439862100 9781138112629 9781439862094 9781000023046 9780429107191 9781000023077 Knowledge Unlatched (KU) KU Select 2018: STEM Backlist Books Chapman and Hall/CRC 224 [...] open access
spellingShingle Feature Selection Algorithms
Feature Selection
Spectral Feature Selection
Multivariate Formulations
data mining
Data Set
machine learning
Fisher Score
dimensionality reduction
Laplacian Matrix
Similarity Matrix
feature extraction
high-dimensional data processing
Redundant Features
Existing Feature Selection
Normalized Laplacian Matrix
Rank Aggregation
F2 F3 F4 F5 F6
Feature Selection Techniques
F1 F2 F3 F4 F5
TIMP Metallopeptidase Inhibitor
Gene Selection
Computer Nodes
microRNA Microarray
LDA
thema EDItEUR::U Computing and Information Technology::UY Computer science
thema EDItEUR::U Computing and Information Technology::UN Databases::UNF Data mining
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TJ Electronics and communications engineering::TJF Electronics engineering::TJFM Automatic control engineering
thema EDItEUR::P Mathematics and Science::PB Mathematics::PBT Probability and statistics
Zhao, Zheng Alan
Liu, Huan
Spectral Feature Selection for Data Mining
title Spectral Feature Selection for Data Mining
title_full Spectral Feature Selection for Data Mining
title_fullStr Spectral Feature Selection for Data Mining
title_full_unstemmed Spectral Feature Selection for Data Mining
title_short Spectral Feature Selection for Data Mining
title_sort spectral feature selection for data mining
topic Feature Selection Algorithms
Feature Selection
Spectral Feature Selection
Multivariate Formulations
data mining
Data Set
machine learning
Fisher Score
dimensionality reduction
Laplacian Matrix
Similarity Matrix
feature extraction
high-dimensional data processing
Redundant Features
Existing Feature Selection
Normalized Laplacian Matrix
Rank Aggregation
F2 F3 F4 F5 F6
Feature Selection Techniques
F1 F2 F3 F4 F5
TIMP Metallopeptidase Inhibitor
Gene Selection
Computer Nodes
microRNA Microarray
LDA
thema EDItEUR::U Computing and Information Technology::UY Computer science
thema EDItEUR::U Computing and Information Technology::UN Databases::UNF Data mining
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TJ Electronics and communications engineering::TJF Electronics engineering::TJFM Automatic control engineering
thema EDItEUR::P Mathematics and Science::PB Mathematics::PBT Probability and statistics
topic_facet Feature Selection Algorithms
Feature Selection
Spectral Feature Selection
Multivariate Formulations
data mining
Data Set
machine learning
Fisher Score
dimensionality reduction
Laplacian Matrix
Similarity Matrix
feature extraction
high-dimensional data processing
Redundant Features
Existing Feature Selection
Normalized Laplacian Matrix
Rank Aggregation
F2 F3 F4 F5 F6
Feature Selection Techniques
F1 F2 F3 F4 F5
TIMP Metallopeptidase Inhibitor
Gene Selection
Computer Nodes
microRNA Microarray
LDA
thema EDItEUR::U Computing and Information Technology::UY Computer science
thema EDItEUR::U Computing and Information Technology::UN Databases::UNF Data mining
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TJ Electronics and communications engineering::TJF Electronics engineering::TJFM Automatic control engineering
thema EDItEUR::P Mathematics and Science::PB Mathematics::PBT Probability and statistics
url ONIX_20250422_9781439862100_21
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