Feature Subset Selection in Software Cost Models using the Artificial Immune Algorithm

Software Engineering / 781: Control Applications ◽

10.2316/p.2012.780-009 ◽

2012 ◽

Author(s):

Tad Gonsalves ◽

Yu Aiso

Keyword(s):

Subset Selection ◽

Immune Algorithm ◽

Feature Subset Selection ◽

Feature Subset ◽

Cost Models ◽

Artificial Immune ◽

Software Cost ◽

Artificial Immune Algorithm

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Firefly Optimization Using Artificial Immune System for Feature Subset Selection

International Journal of Intelligent Engineering and Systems ◽

10.22266/ijies2019.0831.31 ◽

2019 ◽

Vol 12 (4) ◽

pp. 337-347

Author(s):

Badra Kihel ◽

◽

Samira Chouraqui ◽

Keyword(s):

Immune System ◽

Artificial Immune System ◽

Subset Selection ◽

Feature Subset Selection ◽

Feature Subset ◽

Artificial Immune ◽

Firefly Optimization

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Feature subset selection can improve software cost estimation accuracy

Proceedings of the 2005 workshop on Predictor models in software engineering - PROMISE '05 ◽

10.1145/1083165.1083171 ◽

2005 ◽

Cited By ~ 36

Author(s):

Zhihao Chen ◽

Tim Menzies ◽

Dan Port ◽

Barry Boehm

Keyword(s):

Cost Estimation ◽

Subset Selection ◽

Feature Subset Selection ◽

Estimation Accuracy ◽

Feature Subset ◽

Software Cost Estimation ◽

Software Cost

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Feature subset selection can improve software cost estimation accuracy

ACM SIGSOFT Software Engineering Notes ◽

10.1145/1082983.1083171 ◽

2005 ◽

Vol 30 (4) ◽

pp. 1-6 ◽

Cited By ~ 11

Author(s):

Zhihao Chen ◽

Tim Menzies ◽

Dan Port ◽

Barry Boehm

Keyword(s):

Cost Estimation ◽

Subset Selection ◽

Feature Subset Selection ◽

Estimation Accuracy ◽

Feature Subset ◽

Software Cost Estimation ◽

Software Cost

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Feature Subset Selection by Means of a Bayesian Artificial Immune System

10.1109/his.2008.11 ◽

2008 ◽

Cited By ~ 9

Author(s):

Pablo A.D. Castro ◽

Fernando J. Von Zuben

Keyword(s):

Immune System ◽

Artificial Immune System ◽

Subset Selection ◽

Feature Subset Selection ◽

Feature Subset ◽

Artificial Immune

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Parameter Estimation for a Capacitive Coupling Communication Channel within a Metal Cabinet Based on a Modified Artificial Immune Algorithm

IEEE Access ◽

10.1109/access.2021.3082629 ◽

2021 ◽

pp. 1-1

Author(s):

Liping Lu ◽

Zhe Guo ◽

Zhiqi Wang ◽

Zhonghua Huang ◽

Ming Liu

Keyword(s):

Parameter Estimation ◽

Communication Channel ◽

Immune Algorithm ◽

Capacitive Coupling ◽

Artificial Immune ◽

Artificial Immune Algorithm

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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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An improved artificial immune algorithm with application to multiple sensor systems

Information Fusion ◽

10.1016/j.inffus.2009.06.010 ◽

2010 ◽

Vol 11 (2) ◽

pp. 174-182 ◽

Cited By ~ 11

Author(s):

ZhengQiao Ji ◽

Q.M. Jonathan Wu

Keyword(s):

Immune Algorithm ◽

Sensor Systems ◽

Artificial Immune ◽

Artificial Immune Algorithm ◽

Multiple Sensor

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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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Artificial Immune Algorithm for Fault Diagnosis of Power Transformer

2008 IEEE International Symposium on Knowledge Acquisition and Modeling Workshop ◽

10.1109/kamw.2008.4810496 ◽

2008 ◽

Cited By ~ 1

Author(s):

Yuan Jin sha ◽

Lu Wei ◽

Li Zhong

Keyword(s):

Fault Diagnosis ◽

Power Transformer ◽

Immune Algorithm ◽

Artificial Immune ◽

Artificial Immune Algorithm

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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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