Information-theoretic algorithm for feature selection

DOI10.1016/S0167-8655(01)00019-8zbMath1010.68898OpenAlexW2025081100MaRDI QIDQ4795085

Mark Last, Abraham Kandel, Oded Z. Maimon

Publication date: 20 February 2003

Published in: Pattern Recognition Letters (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/s0167-8655(01)00019-8

zbMATH Keywords

classificationinformation theoryfeature selectioninformation-theoretic network

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Pattern recognition, speech recognition (68T10) Computing methodologies and applications (68U99) Coding and information theory (compaction, compression, models of communication, encoding schemes, etc.) (aspects in computer science) (68P30)

Related Items (7)

Mining classification rules using rough sets and neural networks ⋮ SELECT INFORMATIVE SYMPTOMS COMBINATION FOR DIAGNOSING SYNDROME ⋮ A linear discriminant analysis method based on mutual information maximization ⋮ Efficient feature selection based on correlation measure between continuous and discrete features ⋮ New perspectives on multilocus ancestry informativeness ⋮ Intelligent sensory evaluation: Concepts, implementations, and applications ⋮ Designing a hybrid intelligent mining system for credit risk evaluation

Uses Software

• C4.5

This page was built for publication: Information-theoretic algorithm for feature selection