Privacy-Utility Feature Selection as a tool in Private Data Classification

Distributed Computing and Artificial Intelligence, 14th International Conference - Advances in Intelligent Systems and Computing ◽

10.1007/978-3-319-62410-5_31 ◽

2017 ◽

pp. 254-261 ◽

Author(s):

Mina Sheikhalishahi ◽

Fabio Martinelli

Keyword(s):

Feature Selection ◽

Data Classification ◽

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A hybrid Feature Selection Optimization Model for High Dimension Data Classification

IEEE Access ◽

10.1109/access.2021.3065341 ◽

2021 ◽

pp. 1-1

Author(s):

Mohammed Qaraad ◽

Souad Amjad ◽

Ibrahim I.M. Manhrawy ◽

Hanaa Fathi ◽

Bayoumi A. Hassan ◽

...

Keyword(s):

Feature Selection ◽

High Dimension ◽

Optimization Model ◽

Data Classification ◽

High Dimension Data

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R-HEFS: Rough set based Heterogeneous Ensemble Feature Selection Method for Medical data Classification

Artificial Intelligence in Medicine ◽

10.1016/j.artmed.2021.102049 ◽

2021 ◽

pp. 102049

Author(s):

Rubul Kumar Bania ◽

Anindya Halder

Keyword(s):

Feature Selection ◽

Rough Set ◽

Feature Selection Method ◽

Data Classification ◽

Selection Method ◽

Medical Data ◽

Medical Data Classification ◽

Heterogeneous Ensemble

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Feature selection based on niching particle swarm optimization for omics data classification

2020 International Conference on Intelligent Computing and Human-Computer Interaction (ICHCI) ◽

10.1109/ichci51889.2020.00036 ◽

2020 ◽

Author(s):

Zhao Xu ◽

Junshan Yang

Keyword(s):

Feature Selection ◽

Particle Swarm Optimization ◽

Particle Swarm ◽

Data Classification ◽

Swarm Optimization

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Research of Medical High-Dimensional Imbalanced Data Classification Ensemble Feature Selection Algorithm with Random Forest

2017 International Conference on Smart Grid and Electrical Automation (ICSGEA) ◽

10.1109/icsgea.2017.158 ◽

2017 ◽

Author(s):

Min Zhu ◽

Bo Su ◽

Gangmin Ning

Keyword(s):

Feature Selection ◽

Random Forest ◽

Imbalanced Data ◽

Data Classification ◽

High Dimensional ◽

Selection Algorithm ◽

Feature Selection Algorithm ◽

Imbalanced Data Classification

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An Overview of Methods for Feature Selection Based on Mutual Information for Stream Data Classification

2013 International Conference on Communication Systems and Network Technologies ◽

10.1109/csnt.2013.135 ◽

2013 ◽

Author(s):

K. Wankhade ◽

D. Rane ◽

R. Thool

Keyword(s):

Feature Selection ◽

Mutual Information ◽

Data Classification ◽

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A Hybrid Feature Selection Method Based on Symmetrical Uncertainty and Support Vector Machine for High-Dimensional Data Classification

Intelligent Information and Database Systems - Lecture Notes in Computer Science ◽

10.1007/978-3-319-54472-4_67 ◽

2017 ◽

pp. 721-727 ◽

Author(s):

Yongjun Piao ◽

Keun Ho Ryu

Keyword(s):

Support Vector Machine ◽

Feature Selection ◽

High Dimensional Data ◽

Feature Selection Method ◽

Data Classification ◽

Selection Method ◽

High Dimensional ◽

Support Vector ◽

Symmetrical Uncertainty

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Dimensionality reduction techniques for multivariate data classification, interactive visualization, and analysis-systematic feature selection vs. extraction

KES'2000. Fourth International Conference on Knowledge-Based Intelligent Engineering Systems and Allied Technologies. Proceedings (Cat. No.00TH8516) ◽

10.1109/kes.2000.885757 ◽

2002 ◽

Author(s):

A. Konig

Keyword(s):

Feature Selection ◽

Dimensionality Reduction ◽

Multivariate Data ◽

Interactive Visualization ◽

Data Classification ◽

Reduction Techniques ◽

Systematic Feature ◽

Dimensionality Reduction Techniques

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High dimensional data classification and feature selection using support vector machines

European Journal of Operational Research ◽

10.1016/j.ejor.2017.08.040 ◽

2018 ◽

Vol 265 (3) ◽

pp. 993-1004 ◽

Author(s):

Bissan Ghaddar ◽

Joe Naoum-Sawaya

Keyword(s):

Feature Selection ◽

Support Vector Machines ◽

High Dimensional Data ◽

Data Classification ◽

High Dimensional ◽

Support Vector ◽

Vector Machines

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Combining Feature Selection and Data Classification Using Ensemble Approaches: Application to Cancer Diagnosis and Credit Scoring

Case Studies in Intelligent Computing ◽

10.1201/b17333-25 ◽

2014 ◽

pp. 517-534 ◽

Author(s):

Afef Brahim ◽

Waad Bouaguel ◽

Mohamed Limam

Keyword(s):

Feature Selection ◽

Cancer Diagnosis ◽

Credit Scoring ◽

Data Classification

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Feature Selection using FFS and PCA in Biomedical Data Classification with AdaBoost-SVM

International Journal of Intelligent Systems and Applications in Engineering ◽

10.18201/ijisae.2018637928 ◽

2018 ◽

Vol 1 (6) ◽

pp. 33-39

Author(s):

Rahime Ceylan

Keyword(s):

Feature Selection ◽

Data Classification ◽

Biomedical Data

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