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Intelligent Knowledge and Habitual Domain

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

This paper is to enhance our understanding about the second-order data mining. In particularly, we examine the effect of human cognition on the creation of intelligent knowledge during the second-order data mining process. Prior studies have suggested that human cognition plays an important role in the second-order data mining process during which intelligent knowledge was discovered. Given the knowledge that no single data mining model outperforms others for all problems, a common practice in data mining projects is to run multiple data mining models at first and then invite a group of people to collaboratively make judgments on these data mining models’ performance. These judgments often diverge. Little research exists to explain why these variations of human judgments occur.

Suggested Citation

  • Yong Shi & Lingling Zhang & Yingjie Tian & Xingsen Li, 2015. "Intelligent Knowledge and Habitual Domain," SpringerBriefs in Business, in: Intelligent Knowledge, edition 127, chapter 3, pages 31-46, Springer.
    • Handle: RePEc:spr:spbrcp:978-3-662-46193-8_3
    DOI: 10.1007/978-3-662-46193-8_3
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