We present a mixture model based approach for learning individualized behavior models for the Web users. We investigate the use of maximum entropy and Markov mixture models for ge...
Abstract. The paper describes a set of approaches for representing and accessing information within a semantically structured information portal, while offering the possibility to ...
Sudhir Agarwal, Peter Fankhauser, Jorge Gonzalez-O...
Abstract—XML indexing and search has become an important topic, and twig joins are key building blocks in XML search systems. This paper describes a novel approach using a nested...
In this paper, we propose a new framework for mining frequent patterns from large transactional databases. The core of the framework is of a novel coded prefix-path tree with two...
Optimistic replication is a fundamental technique for supporting concurrent work practices in mobile environments. However, due to sudden and frequent transitions to weakly connec...