An agent based rough classifier 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

7 Citations (Scopus)

Abstract

This paper proposes a new agent based approach in rough set classification theory. Rough set is one of data mining techniques for classification. It generates rules from large database and it has mechanism to handle noise and uncertainty in data. However, to produce a rough classification model or rough classifier is highly computational especially in its reduct computation phase which is an np-hard problem. These have contributed to the generation of large amount of rules and lengthy processing time. To resolve the problem, an agent based algorithm is embedded within the rough modelling framework. In this study, the classifier are based on creating agent within the main modelling processes such as reduct computation, rules generation and attribute projections. Four main agents are introduced i.e. interaction agent, weighted agent, reduction agent and default agent. The experimental result shows that the proposed method reduces the running time with a comparative classification accuracy and number of rules.

Original languageEnglish
Title of host publicationProceedings - 8th International Conference on Intelligent Systems Design and Applications, ISDA 2008
Pages145-151
Number of pages7
Volume1
DOIs
Publication statusPublished - 2008
Event8th International Conference on Intelligent Systems Design and Applications, ISDA 2008 - Kaohsiung
Duration: 26 Nov 200828 Nov 2008

Other

Other8th International Conference on Intelligent Systems Design and Applications, ISDA 2008
CityKaohsiung
Period26/11/0828/11/08

Fingerprint

Data mining
Classifiers
Processing

ASJC Scopus subject areas

  • Artificial Intelligence
  • Control and Systems Engineering

Cite this

Abu Bakar, A., Ali Othman, Z., Hamdan, A. R., Yusof, R., & Ismail, R. (2008). An agent based rough classifier for data mining. In Proceedings - 8th International Conference on Intelligent Systems Design and Applications, ISDA 2008 (Vol. 1, pp. 145-151). [4696194] https://doi.org/10.1109/ISDA.2008.29

An agent based rough classifier for data mining. / Abu Bakar, Azuraliza; Ali Othman, Zulaiha; Hamdan, Abdul Razak; Yusof, Rozianiwati; Ismail, Ruhaizan.

Proceedings - 8th International Conference on Intelligent Systems Design and Applications, ISDA 2008. Vol. 1 2008. p. 145-151 4696194.

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

Abu Bakar, A, Ali Othman, Z, Hamdan, AR, Yusof, R & Ismail, R 2008, An agent based rough classifier for data mining. in Proceedings - 8th International Conference on Intelligent Systems Design and Applications, ISDA 2008. vol. 1, 4696194, pp. 145-151, 8th International Conference on Intelligent Systems Design and Applications, ISDA 2008, Kaohsiung, 26/11/08. https://doi.org/10.1109/ISDA.2008.29
Abu Bakar A, Ali Othman Z, Hamdan AR, Yusof R, Ismail R. An agent based rough classifier for data mining. In Proceedings - 8th International Conference on Intelligent Systems Design and Applications, ISDA 2008. Vol. 1. 2008. p. 145-151. 4696194 https://doi.org/10.1109/ISDA.2008.29
Abu Bakar, Azuraliza ; Ali Othman, Zulaiha ; Hamdan, Abdul Razak ; Yusof, Rozianiwati ; Ismail, Ruhaizan. / An agent based rough classifier for data mining. Proceedings - 8th International Conference on Intelligent Systems Design and Applications, ISDA 2008. Vol. 1 2008. pp. 145-151
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