One very important application in the data mining domain is frequent pattern mining. Various authors have worked on improving the efficiency of this computation, mostly focusing o...
In a series of publications, we have proposed a foundational system of ontological categories which has been successfully used to evaluate and improve the quality of conceptual mod...
Different modeling approaches have been proposed to overcome every design pitfall of the development of the different parts of a data warehouse (DW) system. However, they are all ...
Abstract. We propose an original solution for the general reverse k-nearest neighbor (RkNN) search problem in Euclidean spaces. Compared to the limitations of existing methods for ...
To handle the overwhelming amount of information currently available, personalization systems allow users to specify the information that interests them through preferences. Most ...