This paper studies the problem of categorical data clustering, especially for transactional data characterized by high dimensionality and large volume. Starting from a heuristic m...
This paper discusses several data mining algorithms and techniques that we have developed at the University of Arizona Artificial Intelligence Lab. We have implemented these algori...
Andrea Houston, Hsinchun Chen, Susan Molloy Hubbar...
Abstract. While extensive e orts have been devoted to the development of e cient ad-hoc algorithms for association rules mining, little or no interest has been paid to the integrat...
Elena Baralis, Stefano Ceri, Rosa Meo, Giuseppe Ps...
The common paradigm of searching and retrieving information on the Web is based on keyword-based search using one or more search engines, and then browsing through the large numbe...
In this paper we demonstrate how a design-based methodology can be used to iteratively produce designs for an information-processing architecture that integrates various intelligen...