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» A New Approach of Eliminating Redundant Association Rules
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DATAMINE
2002
155views more  DATAMINE 2002»
13 years 7 months ago
Efficient Adaptive-Support Association Rule Mining for Recommender Systems
Collaborative recommender systems allow personalization for e-commerce by exploiting similarities and dissimilarities among customers' preferences. We investigate the use of a...
Weiyang Lin, Sergio A. Alvarez, Carolina Ruiz
ICC
2007
IEEE
14 years 2 months ago
Reducing the Size of Rule Set in a Firewall
— A firewall’s complexity is known to increase with the size of its rule set. Complex firewalls are more likely to have configuration errors which cause security loopholes. ...
MyungKeun Yoon, Shigang Chen, Zhan Zhang
DMKD
1997
ACM
198views Data Mining» more  DMKD 1997»
13 years 12 months ago
Clustering Based On Association Rule Hypergraphs
Clustering in data mining is a discovery process that groups a set of data such that the intracluster similarity is maximized and the intercluster similarity is minimized. These d...
Eui-Hong Han, George Karypis, Vipin Kumar, Bamshad...
BMCBI
2006
144views more  BMCBI 2006»
13 years 7 months ago
Association algorithm to mine the rules that govern enzyme definition and to classify protein sequences
Background: The number of sequences compiled in many genome projects is growing exponentially, but most of them have not been characterized experimentally. An automatic annotation...
Shih-Hau Chiu, Chien-Chi Chen, Gwo-Fang Yuan, Thy-...
VLDB
1998
ACM
127views Database» more  VLDB 1998»
13 years 12 months ago
Algorithms for Mining Association Rules for Binary Segmentations of Huge Categorical Databases
We consider the problem of finding association rules that make nearly optimal binary segmentations of huge categorical databases. The optimality of segmentation is defined by an o...
Yasuhiko Morimoto, Takeshi Fukuda, Hirofumi Matsuz...