Design and Implementation of a Data Mining Query Processor 


Vol. 8,  No. 2, pp. 117-124, Apr.  2001
10.3745/KIPSTD.2001.8.2.117


PDF
  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.

  Statistics
  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.

Forms

Search
(IN TITLE, AUTHOR, ABSTRACT,KEYWORDS)

Advanced Search ▼

POPULAR KEYWORDS
(TOP 10 KEYWORDS)

Recent Publications
(LAST 3 YEARS)

Old Journals

Indexing

All publications of TKIPS is indexed in DOI, EBSCO, Google Scholar, Crossref, and CrossCheck.

TKIPS is also selected as the Journal for Accreditation by NRF (National Research Foundation of Korea).

Related Journals