The discovery of biclusters, which denote groups of items that show coherent values across a subset of all the transactions in a data set, is an important type of analysis perform...
Gaurav Pandey, Gowtham Atluri, Michael Steinbach, ...
Up to now, developing software for the Semantic Web is much more complex than developing software for other data representation paradigms, such as relational databases. Softwa...
Knowledge Discovery in Databases (KDD), also known as data mining, focuses on the computerized exploration of large amounts of data and on the discovery of interesting patterns wi...
As access to hypermedia documents becomes generally available, it becomes increasingly important to understand how casual users search for information. We have studied search patt...
In this paper we describe a social learning game we implemented to evaluate various means of ubiquitous learning support. Making use of game design patterns it was possible to impl...