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Domain Driven Intelligent Knowledge Discovery

In: Intelligent Knowledge

Author

Listed:
  • Yong Shi

    (Chinese Academy of Sciences)

  • Lingling Zhang

    (University of Chinese Academy of Sciences)

  • Yingjie Tian

    (Chinese Academy of Sciences)

  • Xingsen Li

    (Zhejiang University)

Abstract

Data mining algorithms, making use of powerful computation ability of computers, can make up the weakness of logical computation of human and extract novel, interesting, potentially useful and finally understandable knowledge. As a main way to acquire knowledge from data and information, data mining algorithms can generate knowledge that cannot be obtained from experts, thus become a new way to assist decision makings. As the critical technology of knowledge acquisition and the key element of business intelligence, data mining has been a hot research area over the last several decades and made a great progress. Scholars in this area proposed many popular benchmark algorithms and extensions, and applied them in many applications ranging from banking, insurance industries to retail industry.

Suggested Citation

  • Yong Shi & Lingling Zhang & Yingjie Tian & Xingsen Li, 2015. "Domain Driven Intelligent Knowledge Discovery," SpringerBriefs in Business, in: Intelligent Knowledge, edition 127, chapter 4, pages 47-80, Springer.
    • Handle: RePEc:spr:spbrcp:978-3-662-46193-8_4
    DOI: 10.1007/978-3-662-46193-8_4
    as

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