Impact Factor Information

East African Journal of Science and Technology is indexed in International Scientific Indexing (ISI). The Journal has Impact Factor Value of 2.671 based on International Citation Report (ICR) for the year 2023-2024.

For more information, visit ISI Journal Details.

OCARA AS METHOD OF CLASSIFICATION AND ASSOCIATION RULES OBTAINING

Authors

  • Jean Claude TURIHO

DOI:

https://doi.org/10.62103/unilak.eajst.5.5.88

Keywords:

class association rule, association rule, classification, data mining

Abstract

This article focuses on how to integrate the two major data mining techniques namely, classification and
association rules to come up with An Optimal Class Association Rule Algorithm (OCARA) as Method of
Classification and Association Rules Obtaining. Classification and association rule mining algorithms are two
important aspects of datamining. Classification association rule mining algorithm is a promising approach for it
involves the use of association rule mining algorithm to discover classification rules.
OCARA inherits the strength of Classification and association rule mining algorithms. Because of this reason,
OCARA is a powerful algorithm when compared to either Classification or Association rule mining algorithms.
The reason for OCARA’s high accuracy is because of optimal association rule mining algorithm and the rule set
is sorted by priority of rules resulting into a more accurate classifier. Therefore, we can confidently say OCARA
is an accurate classifier and has better performance and is more efficient when compared with C4.5, CBA, and
RMR algorithm.

Downloads

Published

2015-03-15

How to Cite

Jean Claude TURIHO. (2015). OCARA AS METHOD OF CLASSIFICATION AND ASSOCIATION RULES OBTAINING. East African Journal of Science and Technology, 5(5). https://doi.org/10.62103/unilak.eajst.5.5.88

Issue

Section

Articles