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Proceedings of Machine Learning Research

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Proceedings of Machine Learning Research
PMLR · 2026-06-02 · via Proceedings of Machine Learning Research

[edit]

Volume 10: Feature Selection in Data Mining, 21 June 2010, Hyderabad, India

[edit]

Editors: Huan Liu, Hiroshi Motoda, Rudy Setiono, Zheng Zhao

[bib][citeproc]

Contents:

  • Preface
  • Accepted Papers

Filter Authors: Filter Titles:

Preface

Preface

; Proceedings of the Fourth International Workshop on Feature Selection in Data Mining, PMLR 10:1-3

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Accepted Papers

Feature Selection: An Ever Evolving Frontier in Data Mining

Huan Liu, Hiroshi Motoda, Rudy Setiono, Zheng Zhao; Proceedings of the Fourth International Workshop on Feature Selection in Data Mining, PMLR 10:4-13

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Feature Selection, Association Rules Network and Theory Building

Sanjay Chawla; Proceedings of the Fourth International Workshop on Feature Selection in Data Mining, PMLR 10:14-21

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A Statistical Implicative Analysis Based Algorithm and MMPC Algorithm for Detecting Multiple Dependencies

Elham Salehi, Jayashree Nyayachavadi, Robin Gras; Proceedings of the Fourth International Workshop on Feature Selection in Data Mining, PMLR 10:22-34

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Attribute Selection Based on FRiS-Compactness

Nikolay Zagoruiko, Irina Borisova, Vladimir Dyubanov, Olga Kutnenko; Proceedings of the Fourth International Workshop on Feature Selection in Data Mining, PMLR 10:35-44

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Effective Wrapper-Filter hybridization through GRASP Schemata

Mohamed Amir Esseghir; Proceedings of the Fourth International Workshop on Feature Selection in Data Mining, PMLR 10:45-54

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Feature Extraction for Machine Learning: Logic-Probabilistic Approach

Vladimir Gorodetsky, Vladimir Samoylov; Proceedings of the Fourth International Workshop on Feature Selection in Data Mining, PMLR 10:55-65

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Feature Extraction for Outlier Detection in High-Dimensional Spaces

Hoang Vu Nguyen, Vivekanand Gopalkrishnan; Proceedings of the Fourth International Workshop on Feature Selection in Data Mining, PMLR 10:66-75

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Feature Selection for Text Classification Based on Gini Coefficient of Inequality

Ranbir Sanasam, Hema Murthy, Timothy Gonsalves; Proceedings of the Fourth International Workshop on Feature Selection in Data Mining, PMLR 10:76-85

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Increasing Feature Selection Accuracy for L1 Regularized Linear Models

Abhishek Jaiantilal, Gregory Grudic; Proceedings of the Fourth International Workshop on Feature Selection in Data Mining, PMLR 10:86-96

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Learning Dissimilarities for Categorical Symbols

Jierui Xie, Boleslaw Szymanski, Mohammed Zaki; Proceedings of the Fourth International Workshop on Feature Selection in Data Mining, PMLR 10:97-106

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