In this paper we present a method to cluster large datasets that change over time using incremental learning techniques. The approach is based on the dynamic representation of clus...
We study the problem of mining frequent value sets from a large sensor network. We discuss how sensor stream data could be represented that facilitates efficient online mining and ...
The complexity and the dynamics of the Grid environment and of the emering workflow-based applications on the Grid require novel performance monitoring and analysis services in or...
Hong Linh Truong, Bartosz Balis, Marian Bubak, Jak...
Abstract— In this paper we address the problem of interpreting sensory data for human-robot interaction, especially when gathered from several robots at the same time. After desc...
On-Line Analytical Processing (OLAP) is a trend in database technology, based on the multidimensional view of data. In this paper we introduce the Cube Presentation Model (CPM), a ...
Andreas S. Maniatis, Panos Vassiliadis, Spiros Ski...