Feature Discretization is a domain-specific feature design method that transforms continuous feature values into discrete intervals or categories through threshold-based segmentation, thereby enabling more efficient representation and interpretation in predictive modeling.
125
Publications
12.6K
Citations
324
Authors
163
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Publications per year
2017–2026
31
Publications
125
Improved Use of Continuous Attributes in C4.5
J. R. Quinlan · Journal of Artificial Intelligence Research · 1996 · 1.8K citations · Full text
Chi2: feature selection and discretization of numeric attributes
Huan Liu, Rudy Setiono · 2002 · 944 citations
1–5 of 125
Authors
324
- QC
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- MH
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3
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2
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1–5 of 324
Institutions
163
University of Waterloo
Waterloo, Canada
5 h-index
5 publications
141 citations
National University of Singapore
Singapore, Singapore
4 h-index
8 publications
2.7K citations
Hainan University
Haikou, China
4 h-index
8 publications
184 citations
Tsinghua University
Beijing, China
4 h-index
8 publications
247 citations
Norwegian University of Science and Technology
Trondheim, Norway
3 h-index
3 publications
79 citations
Institute of Computing Technology
Beijing, China
3 h-index
3 publications
99 citations
Deakin University
Burwood, Australia
3 h-index
10 publications
980 citations
University of Kansas
Lawrence, United States
3 h-index
4 publications
752 citations
1–8 of 163
Venues
- IEEE Transactions on Knowledge and Data Engineering
TKDE · 5 publications · 975 citations
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- Expert Systems with Applications
4 publications · 133 citations
4
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- Intelligent Data Analysis
IDA · 4 publications · 140 citations
4
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- Information Sciences
4 publications · 346 citations
4
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- Pattern Recognition Letters
3 publications · 138 citations
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