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Information Journal Paper

Title

THE SUGGESTION OF A METHOD BASED ON MULTI-PURPOSE PSO ALGORITHM TO EXTRACT ASSOCIATION RULES IN DATA MINING

Pages

  41-48

Abstract

ASSOCIATION RULE mining, or in other words, extracting the possiple relationships among the data in a large data base, is one the most important and time consuming tasks in data mining. Many algorithms have been proposed for this task in literature which differ in speed and the quality of solutions. In this Article and attempt is made to propose an evolutionary method based on MULTI-OBJECTIVE PSO which has high speed and proper quality in generating the rules. The proposed algorithm has been applied and tested on a set of transaction data with four thousand records and the results prove the efficiency of our algorithm.

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  • Cite

    APA: Copy

    NASIRI, M., ESMAELI, A., MINAEI, B., & MAZINI, N.. (2012). THE SUGGESTION OF A METHOD BASED ON MULTI-PURPOSE PSO ALGORITHM TO EXTRACT ASSOCIATION RULES IN DATA MINING. JOURNAL OF OPERATIONAL RESEARCH AND ITS APPLICATIONS (JOURNAL OF APPLIED MATHEMATICS), 8(4 (31)), 41-48. SID. https://sid.ir/paper/164370/en

    Vancouver: Copy

    NASIRI M., ESMAELI A., MINAEI B., MAZINI N.. THE SUGGESTION OF A METHOD BASED ON MULTI-PURPOSE PSO ALGORITHM TO EXTRACT ASSOCIATION RULES IN DATA MINING. JOURNAL OF OPERATIONAL RESEARCH AND ITS APPLICATIONS (JOURNAL OF APPLIED MATHEMATICS)[Internet]. 2012;8(4 (31)):41-48. Available from: https://sid.ir/paper/164370/en

    IEEE: Copy

    M. NASIRI, A. ESMAELI, B. MINAEI, and N. MAZINI, “THE SUGGESTION OF A METHOD BASED ON MULTI-PURPOSE PSO ALGORITHM TO EXTRACT ASSOCIATION RULES IN DATA MINING,” JOURNAL OF OPERATIONAL RESEARCH AND ITS APPLICATIONS (JOURNAL OF APPLIED MATHEMATICS), vol. 8, no. 4 (31), pp. 41–48, 2012, [Online]. Available: https://sid.ir/paper/164370/en

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