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» New Algorithms for Fast Discovery of Association Rules
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SEMWEB
2005
Springer
15 years 3 months ago
BRAHMS: A WorkBench RDF Store and High Performance Memory System for Semantic Association Discovery
Discovery of semantic associations in Semantic Web ontologies is an important task in various analytical activities. Several query languages and storage systems have been designed ...
Maciej Janik, Krys Kochut
70
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DKE
2007
89views more  DKE 2007»
14 years 9 months ago
The effect of threshold values on association rule based classification accuracy
Classification Association Rule Mining (CARM) systems operate by applying an Association Rule Mining (ARM) method to obtain classification rules from a training set of previousl...
Frans Coenen, Paul H. Leng
SDM
2004
SIAM
163views Data Mining» more  SDM 2004»
14 years 11 months ago
Basic Association Rules
Previous approaches for mining association rules generate large sets of association rules. Such sets are difficult for users to understand and manage. Here, the concept of a restri...
Guichong Li, Howard J. Hamilton
116
Voted
ICMCS
2007
IEEE
124views Multimedia» more  ICMCS 2007»
15 years 4 months ago
Video Semantic Concept Discovery using Multimodal-Based Association Classification
Digital audio and video have recently taken a center stage in the communication world, which highlights the importance of digital media information management and indexing. It is ...
Lin Lin, Guy Ravitz, Mei-Ling Shyu, Shu-Ching Chen
ICDM
2003
IEEE
127views Data Mining» more  ICDM 2003»
15 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