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» Discovering Predictive Association Rules
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JSW
2008
203views more  JSW 2008»
13 years 7 months ago
Automatic Discovery of Semantic Relations Based on Association Rule
Automatic discovery of semantic relations between resources is a key issue in Web-based intelligent applications such as document understanding and Web services. This paper explore...
Xiangfeng Luo, Kai Yan, Xue Chen
AI
2001
Springer
14 years 2 days ago
A Low-Scan Incremental Association Rule Maintenance Method Based on the Apriori Property
As new transactions update data sources and subsequently the data warehouse, the previously discovered association rules in the old database may no longer be interesting rules in ...
Zequn Zhou, C. I. Ezeife
KDD
2002
ACM
150views Data Mining» more  KDD 2002»
14 years 8 months ago
Querying multiple sets of discovered rules
Rule mining is an important data mining task that has been applied to numerous real-world applications. Often a rule mining system generates a large number of rules and only a sma...
Alexander Tuzhilin, Bing Liu
KDD
2006
ACM
201views Data Mining» more  KDD 2006»
14 years 8 months ago
Polynomial association rules with applications to logistic regression
A new class of associations (polynomial itemsets and polynomial association rules) is presented which allows for discovering nonlinear relationships between numeric attributes wit...
Szymon Jaroszewicz
GECCO
2006
Springer
159views Optimization» more  GECCO 2006»
13 years 11 months ago
A new version of the ant-miner algorithm discovering unordered rule sets
The Ant-Miner algorithm, first proposed by Parpinelli and colleagues, applies an ant colony optimization heuristic to the classification task of data mining to discover an ordered...
James Smaldon, Alex Alves Freitas