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S&P Affirms Ratings on Japanese Entities Dec 97. Edition No. 1

  • ID: 1900032
  • June 2008
  • Region: Japan
  • 156 Pages
  • VDM Publishing House
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Yan Zhao's Ph.D. dissertation, entitled "Interactive Data Mining" provides a conceptual framework and a systematic study of human-computer interactions and collaborations for effective data mining.

The thesis is based on an assumption that the effectiveness of data mining systems depends crucially on semantics information about data and different user requirements. In contrast to many data mining models that concentrate on automation and efficiency, interactive data mining systems focus on adaptive and effective communication between human users and computer systems. Interactive systems fully explore the power of human intuition, creativity, heuristics and strategies with supports from computers.

The thesis is well-balanced between theoretical investigation and experimental evaluations. A user-oriented three-layered conceptual model is proposed. Within the framework, user perceptions and requirements are studied formally at the philosophical, technique and the application layers. The separation of the three layers leads to many new insights into data mining. Based on the conceptual framework, a prototype of Interactive Classification System (ICS) has been implemented.

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Yan Zhao.
Yan Zhao received her B. Eng. from the Shanghai University of Engineering and Science, People's Republic of China in 1994, and M.Sc. and Ph.D. from the University of Regina, Canada in 2003 and 2007, respectively. She is currently a post-doctoral fellow in the University of Regina. Her research interests include data mining and machine learning.

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