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Performance Study on Rule-based Classification Techniques across Multiple Database Relations

M. Thangaraj, C. R. Vijayalakshmi, Published in Artificial Intelligence

International Journal of Applied Information Systems
Year of Publication: 2013
© 2012 by IJAIS Journal
10.5120/ijais12-450608
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  1. 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