Summary SQL – A Fuzzy Tool For Data Mining

Article type: Research Article

Authors: Rasmussen, Dan^{a; b; *} | Yager, Ronald R.^{b; 1}

Affiliations: [a] Computer Science Department, Roskilde University, DK-4000 Roskilde, Denmark | [b] Machine Intelligence Institute, Iona College, New Rochelle, NY 10801, USA

Correspondence: [*] Corresponding author. E-mail: [email protected]. (This work was performed while visiting the Machine Intelligence Institute at Iona College.)

Note: [1] E-mail: [email protected], URL: http://www.Iona.edu/hagan/mii/rry.htm.

Abstract: The increasing use of computers for transactions and communication have created mountains of data that contain potentially valuable knowledge. To search for this knowledge we have to develop a new generation of tools, which have the ability of flexible querying and intelligent searching. In this paper we will introduce an extension of a fuzzy query language called Summary SQL which can be used for knowledge discovery and data mining. We show how it can be used to search for fuzzy rules.

Keywords: Knowledge discovery, Data mining, Fuzzy query, Linguistic summary, Fuzzy rules

DOI: 10.3233/IDA-1997-1104

Journal: Intelligent Data Analysis, vol. 1, no. 1, pp. 49-58, 1997