Feature Subset Selection using Cascaded GA and CFS: A Filter Approach in Supervised Learning

Asha Gowda Karegowda; M.A. Jayaram; A.S .Manjunath

doi:10.5120/2865-3711

Feature Subset Selection using Cascaded GA and CFS: A Filter Approach in Supervised Learning

International Journal of Computer Applications ◽

10.5120/2865-3711 ◽

2011 ◽

Vol 23 (2) ◽

pp. 1-10 ◽

Cited By ~ 2

Author(s):

Asha Gowda Karegowda ◽

M.A. Jayaram ◽

A.S .Manjunath

Keyword(s):

Supervised Learning ◽

Subset Selection ◽

Feature Subset Selection ◽

Feature Subset ◽

Filter Approach

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Feature Subset Selection Problem using Wrapper Approach in Supervised Learning

International Journal of Computer Applications ◽

10.5120/169-295 ◽

2010 ◽

Vol 1 (7) ◽

pp. 13-17 ◽

Cited By ~ 42

Author(s):

Asha Gowda Karegowda ◽

A.S. Manjunath ◽

M.A. Jayaram

Keyword(s):

Supervised Learning ◽

Subset Selection ◽

Feature Subset Selection ◽

Selection Problem ◽

Feature Subset ◽

Wrapper Approach

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CFS Based Feature Subset Selection for Enhancing Classification of Similar Looking Food Grains- A Filter Approach

2017 2nd International Conference On Emerging Computation and Information Technologies (ICECIT) ◽

10.1109/icecit.2017.8453403 ◽

2017 ◽

Cited By ~ 2

Author(s):

K.R. Pushpalatha ◽

Asha Gowda Karegowda

Keyword(s):

Subset Selection ◽

Feature Subset Selection ◽

Feature Subset ◽

Food Grains ◽

Selection For ◽

Filter Approach

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A novel hybrid wrapper–filter approach based on genetic algorithm, particle swarm optimization for feature subset selection

Journal of Ambient Intelligence and Humanized Computing ◽

10.1007/s12652-019-01364-5 ◽

2019 ◽

Vol 11 (3) ◽

pp. 1105-1127 ◽

Cited By ~ 11

Author(s):

Fateme Moslehi ◽

Abdorrahman Haeri

Keyword(s):

Genetic Algorithm ◽

Particle Swarm Optimization ◽

Particle Swarm ◽

Subset Selection ◽

Feature Subset Selection ◽

Feature Subset ◽

Swarm Optimization ◽

Filter Approach

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Feature subset selection: a correlation-based SVM filter approach

IEEJ Transactions on Electrical and Electronic Engineering ◽

10.1002/tee.20641 ◽

2011 ◽

Vol 6 (2) ◽

pp. 173-179 ◽

Cited By ~ 7

Author(s):

Boyang Li ◽

Qiangwei Wang ◽

Jinglu Hu

Keyword(s):

Subset Selection ◽

Feature Subset Selection ◽

Feature Subset ◽

Filter Approach

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Empirical evaluation of feature subset selection based on a real-world data set

Engineering Applications of Artificial Intelligence ◽

10.1016/j.engappai.2004.03.005 ◽

2004 ◽

Vol 17 (3) ◽

pp. 285-288 ◽

Cited By ~ 5

Author(s):

Petra Perner ◽

Chid Apte

Keyword(s):

Real World ◽

Empirical Evaluation ◽

Subset Selection ◽

Feature Subset Selection ◽

Feature Subset ◽

Real World Data ◽

Data Set ◽

World Data

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Threshold accepting trained principal component neural network and feature subset selection: Application to bankruptcy prediction in banks

Applied Soft Computing ◽

10.1016/j.asoc.2007.12.003 ◽

2008 ◽

Vol 8 (4) ◽

pp. 1539-1548 ◽

Cited By ~ 67

Author(s):

V. Ravi ◽

C. Pramodh

Keyword(s):

Neural Network ◽

Subset Selection ◽

Principal Component ◽

Bankruptcy Prediction ◽

Feature Subset Selection ◽

Feature Subset ◽

Threshold Accepting

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Interaction between feature subset selection techniques and machine learning classifiers for detecting unsolicited emails

ACM SIGAPP Applied Computing Review ◽

10.1145/2600617.2600622 ◽

2014 ◽

Vol 14 (1) ◽

pp. 53-61 ◽

Cited By ~ 15

Author(s):

Shrawan Kumar Trivedi ◽

Shubhamoy Dey

Keyword(s):

Machine Learning ◽

Subset Selection ◽

Feature Subset Selection ◽

Feature Subset ◽

Machine Learning Classifiers ◽

Learning Classifiers

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An intelligent hybrid feature subset selection and production pattern recognition method for modeling steam cracking process

Journal of Analytical and Applied Pyrolysis ◽

10.1016/j.jaap.2021.105352 ◽

2021 ◽

pp. 105352

Author(s):

Qing Li ◽

Mengxuan Zhang ◽

Xiaogang Shi ◽

Xingying Lan ◽

Xuqiang Guo ◽

...

Keyword(s):

Pattern Recognition ◽

Subset Selection ◽

Feature Subset Selection ◽

Feature Subset ◽

Pattern Recognition Method ◽

Recognition Method ◽

Steam Cracking ◽

Production Pattern ◽

Cracking Process

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A New Approach for Feature Subset Selection using Quantum Inspired Owl Search Algorithm

2020 10th International Conference on Information Science and Technology (ICIST) ◽

10.1109/icist49303.2020.9202140 ◽

2020 ◽

Author(s):

Ashis Kumar Mandal ◽

Rikta Sen ◽

Saptarsi Goswami ◽

Amlan Chakrabarti ◽

Basabi Chakraborty

Keyword(s):

Search Algorithm ◽

Subset Selection ◽

Feature Subset Selection ◽

Feature Subset ◽

New Approach

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Cascading GA & CFS for Feature Subset selection in Medical Data Mining

2009 IEEE International Advance Computing Conference ◽

10.1109/iadcc.2009.4809226 ◽

2009 ◽

Cited By ~ 11

Author(s):

Asha Gowda Karegowda ◽

M.A. Jayaram

Keyword(s):

Data Mining ◽

Subset Selection ◽

Medical Data ◽

Feature Subset Selection ◽

Feature Subset ◽

Medical Data Mining

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