Frequent itemset mining assists the data mining practitioner in searching for strongly associated items (and transactions) in large transaction databases. Since the number of frequ...
As the Semantic Web (SW) is being automatically populated with large number of RDF triples scalability issues related to wide scale reasoning occur. We believe these difficulties ...
Abstract. This paper contributes to a line of research that aims to apply agent-oriented techniques in the field of service-oriented computing. In particular, we propose to use go...
While logging events is becoming increasingly common in computing, in communication and in collaborative environments, log systems need to satisfy increasingly challenging (if not ...
Abstract. This paper addresses the problem of capturing rich, longterm personal activity logs of users’ interactions with their workstations, for the purpose of deriving predicti...