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DKE
2007
119views more  DKE 2007»
9 years 3 months ago
Association rules mining using heavy itemsets
A well-known problem that limits the practical usage of association rule mining algorithms is the extremely large number of rules generated. Such a large number of rules makes the...
Girish Keshav Palshikar, Mandar S. Kale, Manoj M. ...
DATAMINE
2007
101views more  DATAMINE 2007»
9 years 3 months ago
Using metarules to organize and group discovered association rules
The high dimensionality of massive data results in the discovery of a large number of association rules. The huge number of rules makes it difficult to interpret and react to all ...
Abdelaziz Berrado, George C. Runger
JDCTA
2008
107views more  JDCTA 2008»
9 years 3 months ago
A Rule Set Generation Technique for Better Decision Making
A rule set generation technique based on a generated decision tree is suggested for better decision making to compensate the weak point of decision trees
Hyontai Sug
JCST
2008
119views more  JCST 2008»
9 years 3 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
JCP
2008
145views more  JCP 2008»
9 years 3 months ago
An Effective Mining Algorithm for Weighted Association Rules in Communication Networks
The mining of weighted association rules is one of the primary methods used in communication alarm correlation analysis. With large communication alarm database, the traditional me...
Jian Wu, Xing ming Li
IDA
2006
Springer
9 years 3 months ago
Towards symbolic mining of images with association rules: Preliminary results on textures
This paper presents new textural features which are based on association rules. We give a texture representation, which is an appropriate formalism, that allows straightforward app...
Matjaz Bevk, Igor Kononenko
ESWA
2006
139views more  ESWA 2006»
9 years 3 months ago
An efficient data mining approach for discovering interesting knowledge from customer transactions
Mining association rules and mining sequential patterns both are to discover customer purchasing behaviors from a transaction database, such that the quality of business decision ...
Show-Jane Yen, Yue-Shi Lee
DATAMINE
2006
131views more  DATAMINE 2006»
9 years 3 months ago
A systematic approach to the assessment of fuzzy association rules
In order to allow for the analysis of data sets including numerical attributes, several generalizations of association rule mining based on fuzzy sets have been proposed in the li...
Didier Dubois, Eyke Hüllermeier, Henri Prade
CORR
2008
Springer
115views Education» more  CORR 2008»
9 years 4 months ago
New probabilistic interest measures for association rules
Mining association rules is an important technique for discovering meaningful patterns in transaction databases. Many different measures of interestingness have been proposed for ...
Michael Hahsler, Kurt Hornik
CORR
2010
Springer
214views Education» more  CORR 2010»
9 years 4 months ago
Hybrid Medical Image Classification Using Association Rule Mining with Decision Tree Algorithm
The main focus of image mining in the proposed method is concerned with the classification of brain tumor in the CT scan brain images. The major steps involved in the system are: p...
P. Rajendran, M. Madheswaran
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