A hybrid approach to design efficient learning classifiers

DOI10.1016/j.camwa.2009.01.038zbMath1189.68099OpenAlexW2040287254MaRDI QIDQ980088

Bikash Kanti Sarkar, Shib Sankar Sana

Publication date: 28 June 2010

Published in: Computers \& Mathematics with Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.camwa.2009.01.038

zbMATH Keywords

classificationaccuracygenetic algorithmdecision treeefficientrule discovery

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05)

Related Items (1)

Selecting informative rules with parallel genetic algorithm in classification problem

Uses Software

• UCI-ml
• C4.5

Cites Work

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• Data mining and knowledge discovery with evolutionary algorithms
• Extracting Rules from Neural Networks by Pruning and Hidden-Unit Splitting
• Rough sets
• A Double-Layered Learning Approach to Acquiring Rules for Classification: Integrating Genetic Algorithms with Similarity-Based Learning
• Fuzzy sets

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