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

by M. Thangaraj, C. R. Vijayalakshmi and
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International Journal of Applied Information Systems
Foundation of Computer Science (FCS), NY, USA
Volume 5 - Number 4
Year of Publication: 2013
Authors: M. Thangaraj, C. R. Vijayalakshmi and
10.5120/ijais12-450608

M. Thangaraj, C. R. Vijayalakshmi and . Performance Study on Rule-based Classification Techniques across Multiple Database Relations. International Journal of Applied Information Systems. 5, 4 ( March 2013), 1-7. DOI=10.5120/ijais12-450608

@article{ 10.5120/ijais12-450608,
author = { M. Thangaraj, C. R. Vijayalakshmi and },
title = { Performance Study on Rule-based Classification Techniques across Multiple Database Relations },
journal = { International Journal of Applied Information Systems },
issue_date = { March 2013 },
volume = { 5 },
number = { 4 },
month = { March },
year = { 2013 },
issn = { 2249-0868 },
pages = { 1-7 },
numpages = {9},
url = { https://www.ijais.org/archives/volume5/number4/432-0608/ },
doi = { 10.5120/ijais12-450608 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2023-07-05T17:58:21.705215+05:30
%A M. Thangaraj
%A C. R. Vijayalakshmi and
%T Performance Study on Rule-based Classification Techniques across Multiple Database Relations
%J International Journal of Applied Information Systems
%@ 2249-0868
%V 5
%N 4
%P 1-7
%D 2013
%I Foundation of Computer Science (FCS), NY, 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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Index Terms

Computer Science
Information Sciences

Keywords

Multi-relational classification RIPPER RIDOR PART Tuple ID propagation

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