GEPCLASS: A Classification Rule Discovery Tool Using Gene Expression Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@InProceedings{conf/adma/WeinertL06,

• title = "{GEPCLASS}: {A} Classification Rule Discovery Tool Using Gene Expression Programming",
• author = "Wagner R. Weinert and Heitor S. Lopes",
• booktitle = "Advanced Data Mining and Applications, Proceedings of the Second International Conference, {ADMA}",
• year = "2006",
• editor = "Xue Li and Osmar R. Za{\"i}ane and Zhanhuai Li",
• volume = "4093",
• series = "Lecture Notes in Computer Science",
• pages = "871--880",
• address = "Xi'an, China",
• month = aug # " 14-16",
• publisher = "Springer",
• bibdate = "2006-08-21",
• bibsource = "DBLP, http://dblp.uni-trier.de/db/conf/adma/adma2006.html#WeinertL06",
• keywords = "genetic algorithms, genetic programming, Gene Expression Programming",
• ISBN = "3-540-37025-0",
• DOI = "doi:10.1007/11811305_95",
• abstract = "This work describes the use of a recently proposed technique gene expression programming for knowledge discovery in the data mining task of data classification. We propose a new method for rule encoding and genetic operators that preserve rule integrity, and implemented a system, named GEPCLASS. Due to its encoding scheme, the system allows the automatic discovery of flexible rules, better fitted to data. The performance of GEPCLASS was compared with two genetic programming systems and with C4.5, over four data sets in a five-fold cross-validation procedure. The predictive accuracy for the methods compared were similar, but the computational effort needed by GEPCLASS was significantly smaller than the other. GEPCLASS was able to find simple and accurate rules as it can handle continuous and categorical attributes.",

}

Genetic Programming entries for Wagner R Weinert Heitor Silverio Lopes

Citations