- Preface
- Huan Liu, Hiroshi Motoda, Rudy Setiono, Zheng Zhao;
10:1-3, 2010.
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- Feature Selection: An Ever Evolving Frontier in Data Mining
- Huan Liu, Hiroshi Motoda, Rudy Setiono, Zheng Zhao;
10:4-13, 2010.
[abs]
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- Feature Selection, Association Rules Network and Theory Building
- Sanjay Chawla;
10:14-21, 2010.
[abs]
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- A Statistical Implicative Analysis Based Algorithm and MMPC Algorithm for Detecting Multiple Dependencies
- Elham Salehi, Jayashree Nyayachavadi and Robin Gras;
10:22-34, 2010.
[abs]
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- Attribute Selection Based on FRiS-Compactness
- Nikolay Zagoruiko, Irina Borisova, Vladimir Dyubanov and Olga Kutnenko;
10:35-44, 2010.
[abs]
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- Effective Wrapper-Filter hybridization through GRASP Schemata
- Mohamed Amir Esseghir;
10:45-54, 2010.
[abs]
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- Feature Extraction for Machine Learning: Logic-Probabilistic Approach
- Vladimir Gorodetsky and Vladimir Samoylov;
10:55-65, 2010.
[abs]
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- Feature Extraction for Outlier Detection in High-Dimensional Spaces
- Hoang Vu Nguyen and Vivekanand Gopalkrishnan;
10:66-75, 2010.
[abs]
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- Feature Selection for Text Classification Based on Gini Coefficient of Inequality
- Ranbir Sanasam, Hema Murthy and Timothy Gonsalves;
10:76-85, 2010.
[abs]
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- Increasing Feature Selection Accuracy for L1 Regularized Linear Models
- Abhishek Jaiantilal and Gregory Grudic;
10:86-96, 2010.
[abs]
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- Learning Dissimilarities for Categorical Symbols
- Jierui Xie, Boleslaw Szymanski and Mohammed Zaki;
10:97-106, 2010.
[abs]
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