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» Semantic Analysis of Association Rules
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ICDM
2003
IEEE
127views Data Mining» more  ICDM 2003»
14 years 3 months ago
A High-Performance Distributed Algorithm for Mining Association Rules
Abstract. We present a new distributed association rule mining (D-ARM) algorithm that demonstrates superlinear speed-up with the number of computing nodes. The algorithm is the fi...
Assaf Schuster, Ran Wolff, Dan Trock
IKE
2007
13 years 11 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....
WWW
2009
ACM
14 years 10 months ago
OpenRuleBench: an analysis of the performance of rule engines
The Semantic Web initiative has led to an upsurge of the interest in rules as a general and powerful way of processing, combining, and analyzing semantic information. Since severa...
Senlin Liang, Paul Fodor, Hui Wan, Michael Kifer
SSD
1995
Springer
146views Database» more  SSD 1995»
14 years 1 months ago
Discovery of Spatial Association Rules in Geographic Information Databases
Spatial data mining, i.e., discovery of interesting, implicit knowledge in spatial databases, is an important task for understanding and use of spatial data- and knowledge-bases. I...
Krzysztof Koperski, Jiawei Han
DOLAP
2006
ACM
14 years 3 months ago
Enhanced mining of association rules from data cubes
On-line analytical processing (OLAP) provides tools to explore and navigate into data cubes in order to extract interesting information. Nevertheless, OLAP is not capable of expla...
Riadh Ben Messaoud, Sabine Loudcher Rabaséd...