Performance Study on Rule-based Classification Techniques across Multiple Database Relations
International Journal of Applied Information Systems
Year of Publication: 2013
© 2012 by IJAIS Journal
10.5120/ijais12-450608
M Thangaraj and Vijayalakshmi C R and. Article: Performance Study on Rule-based Classification Techniques across Multiple Database Relations. International Journal of Applied Information Systems 5(4):1-7, March 2013. BibTeX
@article{key:article, author = "M. Thangaraj and C. R. Vijayalakshmi and", title = "Article: Performance Study on Rule-based Classification Techniques across Multiple Database Relations", journal = "International Journal of Applied Information Systems", year = 2013, volume = 5, number = 4, pages = "1-7", month = "March", note = "Published by Foundation of Computer Science, New York, USA" }
Abstract
Classification is an important task in data mining and machine learning which has been studied extensively and has a wide range of applications. There are many classification problem occurs and need to be solved. There are different types of classification algorithms like tree-based, rule-based etc, are widely used. In this paper, a performance comparison of different rule-based classifiers across multiple database relations is presented. Empirical study on both real world and synthetic databases shows their efficiency and accuracy.
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Keywords
Multi-relational classification, RIPPER, RIDOR, PART, Tuple ID propagation