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LWA
2008
13 years 8 months ago
A Comparison of Techniques for Selecting and Combining Class Association Rules
Local pattern discovery, pattern set formation and global modeling may be viewed as three consecutive steps in a global modeling process. As each of these three steps have gained a...
Jan-Nikolas Sulzmann, Johannes Fürnkranz
ICDM
2007
IEEE
206views Data Mining» more  ICDM 2007»
14 years 1 months ago
A Novel Rule Weighting Approach in Classification Association Rule Mining
Classification Association Rule Mining (CARM) is a recent Classification Rule Mining (CRM) approach that builds an Association Rule Mining (ARM) based classifier using Classificat...
Yanbo J. Wang, Qin Xin, Frans Coenen
JCST
2008
119views more  JCST 2008»
13 years 7 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
ASMTA
2009
Springer
92views Mathematics» more  ASMTA 2009»
13 years 11 months ago
Comparison of Multi-service Routing Strategies for IP Core Networks
Abstract. Service differentiation in IP core networks may be supported by dedicated path selection rules. This paper investigates the degree of service distinction achievable when ...
Ulf Jensen, Armin Heindl
ICDIM
2007
IEEE
14 years 1 months ago
Pattern-based decision tree construction
Learning classifiers has been studied extensively the last two decades. Recently, various approaches based on patterns (e.g., association rules) that hold within labeled data hav...
Dominique Gay, Nazha Selmaoui, Jean-Françoi...