Hidden Markov models (HMMs) have received considerable attention in various communities (e.g, speech recognition, neurology and bioinformatic) since many applications that use HMM...
The problem of finding frequent patterns from graph-based datasets is an important one that finds applications in drug discovery, protein structure analysis, XML querying, and soc...
Pervasive computing environments have traditionally used distributed sensors to gather user context. EPC (Electronic Product Code) information extracted from RFID tags could addit...
Business intelligence is a business management term used to describe applications and technologies which are used to gather, provide access to and analyze data and information abo...
Web services are becoming an important enabler of the Semantic Web. Besides the need for a rich description mechanism, Web Service information should be made available in an acces...