Pattern mining algorithms are often much easier applied than quantitatively assessed. In this paper we address the pattern evaluation problem by looking at both the capability of ...
This paper introduces a content-based information retrieval method inspired by the ideas of spreading activation models. In response to a given query, the proposed approach comput...
Access to devices that integrate Global Positioning data with image and sound acquisition becomes more common, enabling people to build large collections of locative multimedia. A...
We present a novel, innovative user interface to music repositories. Given an arbitrary collection of digital music files, our system creates a virtual landscape which allows the...
Peter Knees, Markus Schedl, Tim Pohle, Gerhard Wid...
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...