Design and Implementation of a Data Mining Query Processor


The KIPS Transactions:PartD, Vol. 8, No. 2, pp. 117-124, Apr. 2001
10.3745/KIPSTD.2001.8.2.117,   PDF Download:

Abstract

A data mining system includes various data mining functions such as aggregation, association and classification, among others. To express these data mining functions, a powerful data mining query language is needed. In addition, a graphic user interface (GUI) based on the data mining query language is needed for users. In addition, processing a data mining query targeted for a data warehouse, which is the appropriate data repository for decision making, is needed. In this paper, we first build a GUI to enable users to easily define data mining queries. We then propose a data mining query processing framework that can be used to process a data mining query targeted for a data warehouse. We also implement a schema generator to generate a data warehouse schema that is needed to build a data warehouse. Lastly, we show the implementation details of a query processor that can process queries that discover association rules.


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Cite this article
[IEEE Style]
C. S. Kim and K. C. Kim, "Design and Implementation of a Data Mining Query Processor," The KIPS Transactions:PartD, vol. 8, no. 2, pp. 117-124, 2001. DOI: 10.3745/KIPSTD.2001.8.2.117.

[ACM Style]
Chung Seok Kim and Kyung Chang Kim. 2001. Design and Implementation of a Data Mining Query Processor. The KIPS Transactions:PartD, 8, 2, (2001), 117-124. DOI: 10.3745/KIPSTD.2001.8.2.117.