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» Discovering Frequent Closed Itemsets for Association Rules
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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
KAIS
2006
164views more  KAIS 2006»
13 years 7 months ago
On efficiently summarizing categorical databases
Frequent itemset mining was initially proposed and has been studied extensively in the context of association rule mining. In recent years, several studies have also extended its a...
Jianyong Wang, George Karypis
KDD
1997
ACM
159views Data Mining» more  KDD 1997»
13 years 11 months ago
New Algorithms for Fast Discovery of Association Rules
Discovery of association rules is an important problem in database mining. In this paper we present new algorithms for fast association mining, which scan the database only once, ...
Mohammed Javeed Zaki, Srinivasan Parthasarathy, Mi...
SGAI
2010
Springer
13 years 5 months ago
Evolving Temporal Association Rules with Genetic Algorithms
A novel framework for mining temporal association rules by discovering itemsets with a genetic algorithm is introduced. Metaheuristics have been applied to association rule mining,...
Stephen G. Matthews, Mario A. Góngora, Adri...
KDD
2006
ACM
134views Data Mining» more  KDD 2006»
14 years 8 months ago
Identifying bridging rules between conceptual clusters
1 A bridging rule in this paper has its antecedent and action from different conceptual clusters. We first design two algorithms for mining bridging rules between clusters in a dat...
Shichao Zhang, Feng Chen, Xindong Wu, Chengqi Zhan...