Most recommender systems present recommended products in lists to the user. By doing so, much information is lost about the mutual similarity between recommended products. We prop...
Martijn Kagie, Michiel C. van Wezel, Patrick J. F....
We study KDD (Knowledge Discovery in Databases) processes on OLAP (multidimensional and multilevel) data from a query point of view. Focusing on association rule mining, we consid...
The integration of OLAP with web-search technologies is a promising research topic. Recommender systems are popular web-search mechanisms, because they can address information ove...
A common optimization technique in the OLAP application domain is the use of summary aggregate data. For an appropriate support of analysis hot spots, we propose a query based agg...
The current commercial and academic OLAP tools do not process XML data that make use of XLink. To develop OLAP systems for helping in the analysis of such data, this paper propose...