This paper focuses on the discovery of surprising, unexpected patterns, based on a data mining method that consists of detecting instances of Simpson's paradox. By its very n...
Inductive databases tightly integrate databases with data mining. The key ideas are that data and patterns (or models) are handled in the same way and that an inductive query lang...
—Generated test cases are good at systematically exploring paths and conditions in software. However, generated test cases often do not make sense. We adapt test case generation ...
There has been much recent interest in on-line data mining. Existing mining algorithms designed for stored data are either not applicable or not effective on data streams, where r...
Measures of central tendency for graphs are important for protoype construction, frequent substructure mining, and multiple alignment of protein structures. This contribution propo...