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...
Wedi'i Gadw mewn:
| Prif Awduron: | , |
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| Fformat: | Online |
| Iaith: | Saesneg |
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Taylor & Francis
2025
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| Pynciau: | |
| Mynediad Ar-lein: | ONIX_20250422_9781439862100_21 |
| Tagiau: |
Dim Tagiau, Byddwch y cyntaf i dagio'r cofnod hwn!
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| _version_ | 1869530533801754624 |
|---|---|
| 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 |
| work_keys_str_mv | AT zhaozhengalan spectralfeatureselectionfordatamining AT liuhuan spectralfeatureselectionfordatamining |