Sciweavers

257 search results - page 8 / 52
» Mining Large Itemsets for Association Rules
Sort
View
KES
2004
Springer
14 years 23 days ago
FIT: A Fast Algorithm for Discovering Frequent Itemsets in Large Databases
Association rule mining is an important data mining problem that has been studied extensively. In this paper, a simple but Fast algorithm for Intersecting attribute lists using a ...
Jun Luo, Sanguthevar Rajasekaran
JCP
2007
148views more  JCP 2007»
13 years 7 months ago
P3ARM-t: Privacy-Preserving Protocol for Association Rule Mining with t Collusion Resistance
— The ability to mine large volumes of distributed datasets enables more precise decision making. However, privacy concerns should be carefully addressed when mining datasets dis...
Iman Saleh, Mohamed Eltoweissy
PKDD
2007
Springer
147views Data Mining» more  PKDD 2007»
14 years 1 months ago
MINI: Mining Informative Non-redundant Itemsets
Frequent itemset mining assists the data mining practitioner in searching for strongly associated items (and transactions) in large transaction databases. Since the number of frequ...
Arianna Gallo, Tijl De Bie, Nello Cristianini
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...
SDM
2004
SIAM
271views Data Mining» more  SDM 2004»
13 years 8 months ago
A Foundational Approach to Mining Itemset Utilities from Databases
Most approaches to mining association rules implicitly consider the utilities of the itemsets to be equal. We assume that the utilities of itemsets may differ, and identify the hi...
Hong Yao, Howard J. Hamilton, Cory J. Butz