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» Mining RDF Metadata for Generalized Association Rules
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DEXA
2006
Springer
102views Database» more  DEXA 2006»
13 years 8 months ago
Mining RDF Metadata for Generalized Association Rules
In this paper, we present a novel frequent generalized pattern mining algorithm, called GP-Close, for mining generalized associations from RDF metadata. To solve the overgeneraliz...
Tao Jiang, Ah-Hwee Tan
IKE
2007
13 years 6 months ago
Spatial and Temporal Target Association through Semantic Analysis and GPS Data Mining
- We present an application for analyzing temporal and spatial interaction in an Association Network environment based on integrating Global Positioning Systems (GPS) Data, RDF Met...
David Luper, Delroy Cameron, John Miller, Hamid R....
WISE
2000
Springer
13 years 9 months ago
Online Web Mining Transactions Association Rules using Frame Metadata Model
In this paper, we introduce a frame metadata model to facilitate the continuous association rules of web transactions. A new set of association rules can be derived with the updat...
Joseph Fong, John G. Hughes, Jianhan Zhu
ISCC
2002
IEEE
147views Communications» more  ISCC 2002»
13 years 10 months ago
A new method for finding generalized frequent itemsets in generalized association rule mining
Generalized association rule mining is an extension of traditional association rule mining to discover more informative rules, given a taxonomy. In this paper, we describe a forma...
Kritsada Sriphaew, Thanaruk Theeramunkong
JCST
2008
119views more  JCST 2008»
13 years 5 months ago
Mining Frequent Generalized Itemsets and Generalized Association Rules Without Redundancy
This paper presents some new algorithms to efficiently mine max frequent generalized itemsets (g-itemsets) and essential generalized association rules (g-rules). These are compact ...
Daniel Kunkle, Donghui Zhang, Gene Cooperman