6 search results - page 1 / 2 » A Belief-Driven Method for Discovering Unexpected Patterns |
KDD
1998
ACM
13 years 9 months ago
1998
ACM
Several pattern discovery methods proposed in the data mining literature have the drawbacks that they discover too many obvious or irrelevant patterns and that they do not leverag...
KDD
2000
ACM
13 years 8 months ago
2000
ACM
A drawback of most traditional data mining methods is that they do not leverage prior knowledge of users. In many business settings, managers and analysts have significant intuiti...
KDD
2005
ACM
14 years 5 months ago
2005
ACM
We consider a model in which background knowledge on a given domain of interest is available in terms of a Bayesian network, in addition to a large database. The mining problem is...
CIIA
2009
13 years 6 months ago
2009
Several rule discovery algorithms have the disadvantage to discover too much patterns sometimes obvious, useless or not very interesting to the user. In this paper we propose a new...
JDWM
2006
13 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...