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JDWM
2006
84views more  JDWM 2006»
15 years 6 months ago
Discovering Surprising Instances of Simpson's Paradox in Hierarchical Multidimensional Data
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...
Carem C. Fabris, Alex Alves Freitas
SIGKDD
2002
93views more  SIGKDD 2002»
15 years 6 months ago
A Perspective on Inductive Databases
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...
Luc De Raedt
ICST
2011
IEEE
14 years 10 months ago
Exploiting Common Object Usage in Test Case Generation
—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 ...
Gordon Fraser, Andreas Zeller
EDBT
2008
ACM
206views Database» more  EDBT 2008»
16 years 6 months ago
Designing an inductive data stream management system: the stream mill experience
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...
Hetal Thakkar, Barzan Mozafari, Carlo Zaniolo
CAIP
2009
Springer
155views Image Analysis» more  CAIP 2009»
16 years 27 days ago
Algorithms for the Sample Mean of Graphs
Measures of central tendency for graphs are important for protoype construction, frequent substructure mining, and multiple alignment of protein structures. This contribution propo...
Brijnesh J. Jain, Klaus Obermayer