Computational Methods of Feature Selection - Chapman & Hall/CRC Data Mining and Knowledge Discovery Series
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Published By Chapman And Hall/CRC

9781584888789, 9781584888796

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

Active Learning of Feature Relevance

Computational Methods of Feature Selection - Chapman & Hall/CRC Data Mining and Knowledge Discovery Series ◽

10.1201/9781584888796.pt2 ◽

2007 ◽

pp. 87-107

Author(s):

Emanuele Olivetti ◽

Sriharsha Veeramachaneni ◽

Paolo Avesani

Keyword(s):

Active Learning ◽

Feature Relevance

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An Ensemble Method for Identifying Robust Features for Biomarker Discovery

Computational Methods of Feature Selection - Chapman & Hall/CRC Data Mining and Knowledge Discovery Series ◽

10.1201/9781584888796.ch19 ◽

2007 ◽

pp. 377-392 ◽

Cited By ~ 3

Author(s):

Diana Chan ◽

Susan Bridges ◽

Shane Burgess

Keyword(s):

Biomarker Discovery ◽

Ensemble Method

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Pairwise Constraints-Guided Dimensionality Reduction

Computational Methods of Feature Selection - Chapman & Hall/CRC Data Mining and Knowledge Discovery Series ◽

10.1201/9781584888796.ch15 ◽

2007 ◽

pp. 295-312 ◽

Cited By ~ 9

Author(s):

Wei Tang ◽

Shi Zhong

Keyword(s):

Dimensionality Reduction ◽

Pairwise Constraints

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Aggressive Feature Selection by Feature Ranking

Computational Methods of Feature Selection - Chapman & Hall/CRC Data Mining and Knowledge Discovery Series ◽

10.1201/9781584888796.ch16 ◽

2007 ◽

pp. 313-333 ◽

Cited By ~ 3

Author(s):

Masoud Makrehchi ◽

Mohamed Kamel

Keyword(s):

Feature Selection ◽

Feature Ranking

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Computational Methods of Feature Selection - Chapman & Hall/CRC Data Mining and Knowledge Discovery Series ◽

10.1201/9781584888796.fmatt ◽

2007 ◽

Download Full-text

Less Is More

Computational Methods of Feature Selection - Chapman & Hall/CRC Data Mining and Knowledge Discovery Series ◽

10.1201/9781584888796.pt1 ◽

2007 ◽

pp. 3-17 ◽

Cited By ~ 3

Author(s):

Huan Liu ◽

Hiroshi Motoda

Keyword(s):

Less Is More

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Efficient Incremental-Ranked Feature Selection in Massive Data

Computational Methods of Feature Selection - Chapman & Hall/CRC Data Mining and Knowledge Discovery Series ◽

10.1201/9781584888796.ch8 ◽

2007 ◽

pp. 147-166 ◽

Cited By ~ 1

Author(s):

Roberto Ruiz ◽

Je_us Aguilar-Ruiz ◽

Jo_e Riquelme

Keyword(s):

Feature Selection ◽

Massive Data

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Ensemble-Based Variable Selection Using Independent Probes

Computational Methods of Feature Selection - Chapman & Hall/CRC Data Mining and Knowledge Discovery Series ◽

10.1201/9781584888796.ch7 ◽

2007 ◽

pp. 131-145 ◽

Cited By ~ 2

Author(s):

Eugene Tuv ◽

Alexander Borisov ◽

Kari Torkkola

Keyword(s):

Variable Selection

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A Study of Feature Extraction Techniques Based on Decision Border Estimate

Computational Methods of Feature Selection - Chapman & Hall/CRC Data Mining and Knowledge Discovery Series ◽

10.1201/9781584888796.ch6 ◽

2007 ◽

pp. 109-129 ◽

Cited By ~ 3

Author(s):

Claudia Diamantini ◽

Domenico Potena

Keyword(s):

Feature Extraction ◽

Extraction Techniques

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A Bayesian Feature Selection Score Based on Naïve Bayes Models

Computational Methods of Feature Selection - Chapman & Hall/CRC Data Mining and Knowledge Discovery Series ◽

10.1201/9781584888796.ch14 ◽

2007 ◽

pp. 277-294

Author(s):

Susana Eyheramendy ◽

David Madigan

Keyword(s):

Feature Selection ◽

Naive Bayes ◽

Naïve Bayes

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Computational Methods of Feature Selection - Chapman & Hall/CRC Data Mining and Knowledge Discovery Series
Latest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Chapman And Hall/CRC

Active Learning of Feature Relevance

An Ensemble Method for Identifying Robust Features for Biomarker Discovery

Pairwise Constraints-Guided Dimensionality Reduction

Aggressive Feature Selection by Feature Ranking

Contents

Less Is More

Efficient Incremental-Ranked Feature Selection in Massive Data

Ensemble-Based Variable Selection Using Independent Probes

A Study of Feature Extraction Techniques Based on Decision Border Estimate

A Bayesian Feature Selection Score Based on Naïve Bayes Models

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Computational Methods of Feature Selection - Chapman & Hall/CRC Data Mining and Knowledge Discovery SeriesLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Chapman And Hall/CRC

Active Learning of Feature Relevance

An Ensemble Method for Identifying Robust Features for Biomarker Discovery

Pairwise Constraints-Guided Dimensionality Reduction

Aggressive Feature Selection by Feature Ranking

Contents

Less Is More

Efficient Incremental-Ranked Feature Selection in Massive Data

Ensemble-Based Variable Selection Using Independent Probes

A Study of Feature Extraction Techniques Based on Decision Border Estimate

A Bayesian Feature Selection Score Based on Naïve Bayes Models

Computational Methods of Feature Selection - Chapman & Hall/CRC Data Mining and Knowledge Discovery Series
Latest Publications