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» Itemset Materializing for Fast Mining of Association Rules
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IAJIT
2010
157views more  IAJIT 2010»
14 years 9 months ago
Fast Cryptographic Privacy Preserving Association Rules Mining on Distributed Homogenous Database
: Privacy is one of the most important properties of an information system must satisfy, in which systems the need to share information among different, not trusted entities, the p...
Ashraf El-Sisi
HAIS
2011
Springer
14 years 2 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...
ISI
2007
Springer
15 years 5 months ago
Mining Higher-Order Association Rules from Distributed Named Entity Databases
The burgeoning amount of textual data in distributed sources combined with the obstacles involved in creating and maintaining central repositories motivates the need for effective ...
Shenzhi Li, Christopher D. Janneck, Aditya P. Bela...
ISCI
2007
99views more  ISCI 2007»
14 years 11 months ago
Privacy-preserving algorithms for distributed mining of frequent itemsets
Standard algorithms for association rule mining are based on identification of frequent itemsets. In this paper, we study how to maintain privacy in distributed mining of frequen...
Sheng Zhong