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133
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JDWM
2006
15 years 4 months ago
2006
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...
162
Voted
EUROPAR
1999
Springer
15 years 9 months ago
1999
Springer
This paper describes the realization of a parallel version of the k/h-means clustering algorithm. This is one of the basic algorithms used in a wide range of data mining tasks. We ...
114
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PKDD
1999
Springer
15 years 9 months ago
1999
Springer
This paper addresses the problem of learning from highly structured data. Speci cally, it describes a procedure, called decomposition, that allows a learner to access automatically...
126
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KDD
1994
ACM
15 years 8 months ago
1994
ACM
We describe scoring metrics for learning Bayesian networks from a combination of user knowledge and statistical data. We identify two important properties of metrics, which we cal...
172
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KDD
1995
ACM
15 years 8 months ago
1995
ACM
Probabilistic expert systemsbased on Bayesian networks(BNs)require initial specification both a qualitative graphical structure and quantitative assessmentof conditional probabili...