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» Mining Association Rules: Anti-Skew Algorithms
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RIDE
1997
IEEE
14 years 2 months ago
Evaluation of Sampling for Data Mining of Association Rules
Discovery of association rules is a prototypical problem in data mining. The current algorithms proposed for data mining of association rules make repeated passes over the databas...
Mohammed Javeed Zaki, Srinivasan Parthasarathy, We...
JCP
2007
148views more  JCP 2007»
13 years 9 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
DKE
2008
83views more  DKE 2008»
13 years 10 months ago
Mining fuzzy periodic association rules
We develop techniques for discovering patterns with periodicity in this work. Patterns with periodicity are those that occur at regular time intervals, and therefore there are two...
Wan-Jui Lee, Jung-Yi Jiang, Shie-Jue Lee
DASFAA
2004
IEEE
125views Database» more  DASFAA 2004»
14 years 1 months ago
Reducing Communication Cost in a Privacy Preserving Distributed Association Rule Mining
Data mining is a process that analyzes voluminous digital data in order to discover hidden but useful patterns from digital data. However, discovery of such hidden patterns has sta...
Mafruz Zaman Ashrafi, David Taniar, Kate A. Smith
HAIS
2011
Springer
13 years 1 months ago
Evolving Temporal Fuzzy Association Rules from Quantitative Data with a Multi-Objective Evolutionary Algorithm
A novel method for mining association rules that are both quantitative and temporal using a multi-objective evolutionary algorithm is presented. This method successfully identifie...
Stephen G. Matthews, Mario A. Góngora, Adri...