Automatic Pruning of Rules Through Multi-objective Optimization—A Case Study with a Multi-objective Cultural Algorithm

Author:

Srinivasan Sujatha,Muruganandam S.

Publisher

Springer Singapore

Reference23 articles.

1. Zaïane OR, Antonie M-L (2005) On pruning and tuning rules for associative classifiers. In: Knowledge-Based Intelligent Information Engineering Systems, vol 3683, pp 966–973. https://doi.org/10.1007/11553939

2. Abe H, Tsumoto S (2008) Analyzing behavior of objective rule evaluation indices based on pearson product-moment correlation coefficient. In: Foundations of intelligent systems, pp 84–89

3. Bache K, Lichman M UCI Machine Learning Repository. http://www.ics.uci.edu/~mlearn/MLRepository.html

4. Srinivasan S, Ramakrishnan S (2012) Cultural algorithm toolkit for multi-objective rule mining. Int J Comput Sci Appl 2:9–23

5. Dimitrijevic M, Bosnjak Z (2010) Discovering interesting association rules in the web log usage data. Interdiscip J Inf Knowl Manag 5:191

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