Concept drifting is an important and challenging research issue in the field of machine learning. This paper mainly addresses the issue of semantic concept drifting in time series...
We consider two approaches that model timetable information in public transportation systems as shortestpath problems in weighted graphs. In the time-expanded approach every event...
Evangelia Pyrga, Frank Schulz, Dorothea Wagner, Ch...
This paper describes and evaluates various general stemming approaches for the French, Portuguese (Brazilian), German and Hungarian languages. Based on the CLEF test-collections, ...
Abstract— The ability to prevent risks as well as to appropriately counteract occurring threats has increasingly become a crucial success factor. Traditional business process man...
Gernot Goluch, Andreas Ekelhart, Stefan Fenz, Stef...
Folksonomies provide a comfortable way to search and browse the blogosphere. As the tags in the blogosphere are sparse, ambiguous and too general, this paper proposes both a super...