A case-based data mining platform

Authors:
Xingwen Wang;Joshua Zhexue Huang
Affiliations:
E-Business Technology Institute, The University of Hong Kong, Hong Kong;E-Business Technology Institute, The University of Hong Kong, Hong Kong
Venue:
Data Mining
Year:
2006

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Abstract

Data mining practice in industry heavily depends on experienced data mining professionals to provide solutions. Normal business users cannot easily use data mining tools to solve their business problems, because of the complexity of data mining process and data mining tools. In this paper, we propose a case-based data mining platform, which reuses the knowledge captured in past data mining cases to semi-automatically solve new similar problems. We first extend generic data mining model for knowledge reuse. Then we define data mining case. And then we introduce this platform in detail from its storage bases, functional modules, user interface, and application scenario. Theoretically, this platform can simplify data mining process, reduce the dependency on data mining professional, and shorten business decision time.