Change detection is a critical task in the diagnosis of many slowly evolving pathologies. This paper describes an approach that semi-automatically performs this task using longitu...
The paper presents a method for pruning frequent itemsets based on background knowledge represented by a Bayesian network. The interestingness of an itemset is defined as the abso...
In this paper, we discuss and compare two user centred methods applied in concept design: observation and probes. The comparison is based on findings from two case studies. In the...
The importance of finding the characteristics leading to either a success or a failure is one of the driving forces of data mining. The various application areas of finding succes...
Continuing in the steps of Jon Kleinberg's and others celebrated work on decentralized search, we conduct an experimental analysis of destination sampling, a dynamic algorithm...
Olof Mogren, Oskar Sandberg, Vilhelm Verendel, Dev...