Continuous top-k queries, which report a certain number (k) of top preferred objects from data streams, are important for a broad class of real-time applications, ranging from fi...
Di Yang, Avani Shastri, Elke A. Rundensteiner, Mat...
This interdisciplinary research project focuses on relevant applications of Knowledge Discovery and Artificial Neural Networks in order to identify and analyse levels of country, b...
Gold standard mappings created by experts are at the core of alignment evaluation. At the same time, the process of manual evaluation is rarely discussed. While the practice of ha...
Anna Tordai, Jacco van Ossenbruggen, Guus Schreibe...
Hadoop has become an attractive platform for large-scale data analytics. In this paper, we identify a major performance bottleneck of Hadoop: its lack of ability to colocate relat...
The massive data streams observed in network monitoring, data processing and scientific studies are typically too large to store. For many applications over such data, we must ob...