The research reported in this paper employed Narrative Inquiry in an innovative way in a study of the key factors that influence the career paths of information systems (IS) profe...
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...
We propose and evaluate a mobile, peer-to-peer Information Retrieval system. Such a system can, for example, support medical care in a disaster by allowing access to a large colle...
In the past few years, much attention has been paid to the study of semistructured data, i.e., data with irregular, possibly unstable, and rapidly changing structure, and, in part...
Abstract— We investigate a widely popular Least-RecentlyUsed (LRU) cache replacement algorithm with semi-Markov modulated requests. Semi-Markov processes provide the flexibility...