Clustering in data mining is a discovery process that groups a set of data such that the intracluster similarity is maximized and the intercluster similarity is minimized. These d...
Eui-Hong Han, George Karypis, Vipin Kumar, Bamshad...
One of the important problems in data mining is discovering association rules from databases of transactions where each transaction consists of a set of items. The most time consu...
Abstract. In this short paper we describe the DFL hybrid knowledge base, that integrates descriptions with expressive object-oriented rules. The knowledge base manages a database o...
Abstract: The problem of discovering association rules in large databases has received considerable research attention. Much research has examined the exhaustive discovery of all a...
A World Wide Web (WWW) based client/server system has been developed which allows server-side process independent layout generators to generate the design rule correct geometry of...
Les T. Walczowski, D. Nalbantis, W. A. J. Waller, ...