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» Improving the SLA Algorithm Using Association Rules
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85
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ICDM
2007
IEEE
206views Data Mining» more  ICDM 2007»
15 years 4 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
SDM
2009
SIAM
143views Data Mining» more  SDM 2009»
15 years 7 months ago
Finding Representative Association Rules from Large Rule Collections.
One of the most well-studied problems in data mining is computing association rules from large transactional databases. Often, the rule collections extracted from existing datamin...
Warren L. Davis IV, Peter Schwarz, Evimaria Terzi
102
Voted
JOT
2006
105views more  JOT 2006»
14 years 10 months ago
Improving the Use of Multiplicity in UML Association
Through the incorporation of derived classes and associations in class diagrams, this paper proposes a method to improve the specification power of multiplicity for n-ary associat...
Hee Beng Kuan Tan, Yong Yang, Lei Bian
AMC
2008
87views more  AMC 2008»
14 years 10 months ago
Mining classification rules with Reduced MEPAR-miner Algorithm
In this study, a new classification technique based on rough set theory and MEPAR-miner algorithm for association rule mining is introduced. Proposed method is called as `Reduced ...
Emel Kizilkaya Aydogan, Cevriye Gencer
160
Voted
HAIS
2011
Springer
14 years 1 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...