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Providing Timely Updated Sequential Patterns In Decision Making

Author

Listed:
  • TZUNG-PEI HONG

    (Department of Computer Science and Information Engineering, National University of Kaohsiung, Kaohsiung, 811, Taiwan, R.O.C.;
    Department of Computer Science and Engineering, National Sun Yat-sen University, Kaohsiung, 804, Taiwan, R.O.C.)

  • CHING-YAO WANG

    (Information & Communications Research Lab, Industrial Technology Research Institute, Hsinchu, 310, Taiwan, R.O.C.)

  • CHUN-WEI LIN

    (Department of Computer Science and Information Engineering, General Education Center, National University of Kaohsiung, Kaohsiung, 811, Taiwan, R.O.C.)

Abstract

Mining knowledge from large databases has become a critical task for organizations. Managers commonly use the obtained sequential patterns to make decisions. In the past, databases were usually assumed to be static. In real-world applications, however, transactions may be updated. In this paper, a maintenance algorithm for rapidly updating sequential patterns for real-time decision making is proposed. The proposed algorithm utilizes previously discovered large sequences in the maintenance process, thus greatly reducing the number of database rescans and improving performance. Experimental results verify the performance of the proposed approach. The proposed algorithm provides real-time knowledge that can be used for decision making.

Suggested Citation

  • Tzung-Pei Hong & Ching-Yao Wang & Chun-Wei Lin, 2010. "Providing Timely Updated Sequential Patterns In Decision Making," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 9(06), pages 873-888.
    • Handle: RePEc:wsi:ijitdm:v:09:y:2010:i:06:n:s0219622010004147
    DOI: 10.1142/S0219622010004147
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