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» Mining interesting sets and rules in relational databases
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KDD
2005
ACM
103views Data Mining» more  KDD 2005»
14 years 8 months ago
Fast discovery of unexpected patterns in data, relative to a Bayesian network
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...
Szymon Jaroszewicz, Tobias Scheffer
DAWAK
2003
Springer
14 years 26 days ago
Using an Interest Ontology for Improved Support in Rule Mining
Abstract. This paper describes the use of a concept hierarchy for improving the results of association rule mining. Given a large set of tuples with demographic information and per...
Xiaoming Chen, Xuan Zhou, Richard B. Scherl, James...
SIGMOD
1990
ACM
66views Database» more  SIGMOD 1990»
13 years 11 months ago
Set-Oriented Production Rules in Relational Database Systems
Jennifer Widom, Sheldon J. Finkelstein
PKDD
2005
Springer
94views Data Mining» more  PKDD 2005»
14 years 1 months ago
Evaluating the Correlation Between Objective Rule Interestingness Measures and Real Human Interest
In the last few years, the data mining community has proposed a number of objective rule interestingness measures to select the most interesting rules, out of a large set of discov...
Deborah R. Carvalho, Alex Alves Freitas, Nelson F....
CIKM
2010
Springer
13 years 6 months ago
Mining interesting link formation rules in social networks
Link structures are important patterns one looks out for when modeling and analyzing social networks. In this paper, we propose the task of mining interesting Link Formation rules...
Cane Wing-ki Leung, Ee-Peng Lim, David Lo, Jianshu...