Publications

Association rules are useful for determining correlations between attributes of a relation and have applications in the marketing, financial, and retail sectors.

Mining association rules on large data sets have received considerable attention in recent years.

Discovering sequential patterns is an important problem in data mining with a host of application domains including medicine, telecommunications. and the World Wide Web.

This paper explores ways to enhance services provided to a user, based on the user's own behavior and context.

One of the promises of the Semantic Web is to support applications that easily and seamlessly deal with heterogeneous data.

One of the promises of the Semantic Web is to support applications that easily and seamlessly deal with heterogeneous data.

Outlines a method of constructing modular assemblies using conventional miniature electronic components.

We present a novel application for Content Based Retrieved Techniques in Electronic Commerce using Interactive Multimedia, in which visual queries play a central role.

We describe Mirage, a software tool designed for interactive exploration of the correlation of multiple partitional or hierarchical cluster structures arising in different contexts.

A fundamental need in analyzing data from large archives is to find correlations among different objects or events. Mirage is a graphical tool that addresses this need.