Comparison of Feature Selection Algorithms for Medical Data
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Date
2012
Authors
Dağ, Hasan
Sayın, Kamran Emre
Yenidoğan, Işıl
Albayrak, Songül Varli
Acar, Can
Journal Title
Journal ISSN
Volume Title
Publisher
IEEE
Open Access Color
Green Open Access
Yes
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Publicly Funded
No
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Average
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Top 10%
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Top 10%
Abstract
Data mining application areas widen day by day. Among those areas medical area has been receiving quite a big attention. However working with very large data sets with many attributes is hard. Experts in this field use heavily advanced statistical analysis. The use of data mining techniques is fairly new. This paper compares three feature selection algorithms on medical data sets and comments on the importance of discretization of attributes. © 2012 IEEE.
Description
Keywords
Correlation Based Feature Selection (CFS), Data mining, Discretization, Feature selection algorithms, Gain ratio, Information gain, Information gain, Gain ratio, Correlation Based Feature Selection (CFS), Data mining, Feature selection algorithms, Discretization
Turkish CoHE Thesis Center URL
Fields of Science
0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology
Citation
WoS Q
Scopus Q
OpenCitations Citation Count
15
Source
2012 International Symposium on Innovations in Intelligent Systems and Applications
Volume
Issue
Start Page
1
End Page
5
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Citations
CrossRef : 3
Scopus : 17
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Mendeley Readers : 43
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17
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4
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159
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