Agent based data classification approach for data mining

Azuraliza Abu Bakar, Zulaiha Ali Othman, Abdul Razak Hamdan, Rozianiwati Yusof, Ruhaizan Ismail

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

Classification is one of the tasks in data mining. The form of classifier depends on the classification technique used. For example, neural network produce a set of weight as a classifier, regression form an equation as a predictor while decision tree, C4.5, CART, Rough Set and Bayesian theory generate set of rules known as rule based classifier. Rules are more interpretable by human when compared to other form of classifiers. The process of classification involves applying the rules onto a set of unseen data. There are many issues appeared in rule application process such as more than one rule match, multiple scanning of large rule base and uncertainty. In this study an agent based approach is proposed to improve the rule application process. The proposed agents are embedded within the standard rule application techniques. The result shows the significant improvements in classification time and the number of matched rules with comparable classification accuracy.

Original languageEnglish
Title of host publicationProceedings - International Symposium on Information Technology 2008, ITSim
Volume2
DOIs
Publication statusPublished - 2008
EventInternational Symposium on Information Technology 2008, ITSim - Kuala Lumpur
Duration: 26 Aug 200829 Aug 2008

Other

OtherInternational Symposium on Information Technology 2008, ITSim
CityKuala Lumpur
Period26/8/0829/8/08

Fingerprint

Data mining
Classifiers
Decision trees
Set theory
Neural networks
Scanning

ASJC Scopus subject areas

  • Artificial Intelligence
  • Information Systems
  • Control and Systems Engineering
  • Electrical and Electronic Engineering

Cite this

Abu Bakar, A., Ali Othman, Z., Hamdan, A. R., Yusof, R., & Ismail, R. (2008). Agent based data classification approach for data mining. In Proceedings - International Symposium on Information Technology 2008, ITSim (Vol. 2). [4631677] https://doi.org/10.1109/ITSIM.2008.4631677

Agent based data classification approach for data mining. / Abu Bakar, Azuraliza; Ali Othman, Zulaiha; Hamdan, Abdul Razak; Yusof, Rozianiwati; Ismail, Ruhaizan.

Proceedings - International Symposium on Information Technology 2008, ITSim. Vol. 2 2008. 4631677.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abu Bakar, A, Ali Othman, Z, Hamdan, AR, Yusof, R & Ismail, R 2008, Agent based data classification approach for data mining. in Proceedings - International Symposium on Information Technology 2008, ITSim. vol. 2, 4631677, International Symposium on Information Technology 2008, ITSim, Kuala Lumpur, 26/8/08. https://doi.org/10.1109/ITSIM.2008.4631677
Abu Bakar A, Ali Othman Z, Hamdan AR, Yusof R, Ismail R. Agent based data classification approach for data mining. In Proceedings - International Symposium on Information Technology 2008, ITSim. Vol. 2. 2008. 4631677 https://doi.org/10.1109/ITSIM.2008.4631677
Abu Bakar, Azuraliza ; Ali Othman, Zulaiha ; Hamdan, Abdul Razak ; Yusof, Rozianiwati ; Ismail, Ruhaizan. / Agent based data classification approach for data mining. Proceedings - International Symposium on Information Technology 2008, ITSim. Vol. 2 2008.
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