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A Descriptive Framework For The Field Of Data Mining And Knowledge Discovery

Author

Listed:
  • YI PENG

    (School of Management and Economics, University of Electronic Science and Technology of China, Chengdu 610054, China)

  • GANG KOU

    (School of Management and Economics, University of Electronic Science and Technology of China, Chengdu 610054, China)

  • YONG SHI

    (CAS Research Center on Fictitious Economy and Data Sciences, Beijing 100080, China;
    College of Information Science and Technology, University of Nebraska at Omaha, NE 68182, USA)

  • ZHENGXIN CHEN

    (College of Information Science & Technology, University of Nebraska at Omaha, NE 68182, USA)

Abstract

Despite the rapid development, the field of data mining and knowledge discovery (DMKD) is still vaguely defined and lack of integrated descriptions. This situation causes difficulties in teaching, learning, research, and application. This paper surveys a large collection of DMKD literature to provide a comprehensive picture of current DMKD research and classify these research activities into high-level categories using grounded theory approach; it also evaluates the longitudinal changes of DMKD research activities during the last decade.

Suggested Citation

  • Yi Peng & Gang Kou & Yong Shi & Zhengxin Chen, 2008. "A Descriptive Framework For The Field Of Data Mining And Knowledge Discovery," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 7(04), pages 639-682.
    • Handle: RePEc:wsi:ijitdm:v:07:y:2008:i:04:n:s0219622008003204
    DOI: 10.1142/S0219622008003204
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