Intelligent Knowledge and Habitual Domain

Yong Shi (), Lingling Zhang, Yingjie Tian and Xingsen Li
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Yong Shi: Chinese Academy of Sciences
Lingling Zhang: University of Chinese Academy of Sciences
Yingjie Tian: Chinese Academy of Sciences
Xingsen Li: Zhejiang University

Chapter 3 in Intelligent Knowledge, 2015, pp 31-46 from Springer

Abstract: 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.

Keywords: Data Mining; Human Judgment; Data Mining Algorithm; Data Mining Method; Potential Domain (search for similar items in EconPapers)
Date: 2015
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DOI: 10.1007/978-3-662-46193-8_3

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