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PAKDD
2010
ACM
152views Data Mining» more  PAKDD 2010»
9 years 8 months ago
Mining Association Rules in Long Sequences
Abstract. Discovering interesting patterns in long sequences, and finding confident association rules within them, is a popular area in data mining. Most existing methods define...
Boris Cule, Bart Goethals
ISCC
2002
IEEE
147views Communications» more  ISCC 2002»
9 years 8 months ago
A new method for finding generalized frequent itemsets in generalized association rule mining
Generalized association rule mining is an extension of traditional association rule mining to discover more informative rules, given a taxonomy. In this paper, we describe a forma...
Kritsada Sriphaew, Thanaruk Theeramunkong
ICDM
2002
IEEE
153views Data Mining» more  ICDM 2002»
9 years 8 months ago
Generating an informative cover for association rules
Mining association rules may generate a large numbers of rules making the results hard to analyze manually. Pasquier et al. have discussed the generation of GuiguesDuquenne–Luxe...
Laurentiu Cristofor, Dan A. Simovici
ILP
2003
Springer
9 years 8 months ago
ILP for Mathematical Discovery
We believe that AI programs written for discovery tasks will need to simultaneously employ a variety of reasoning techniques such as induction, abduction, deduction, calculation an...
Simon Colton, Stephen Muggleton
IDEAL
2003
Springer
9 years 8 months ago
Association Rule Mining Algorithms for Set-Valued Data
This paper presents an association rule mining system that is capable of handling set-valued attributes. Our previous research has exposed us to a variety of real-world biological ...
Christopher A. Shoemaker, Carolina Ruiz
IDEAL
2003
Springer
9 years 8 months ago
Experiences of Using a Quantitative Approach for Mining Association Rules
In recent years interest has grown in “mining” large databases to extract novel and interesting information. Knowledge Discovery in Databases (KDD) has been recognised as an em...
L. Dong, Christos Tjortjis
AUSAI
2003
Springer
9 years 8 months ago
Association Rule Discovery with Unbalanced Class Distributions
There are many methods for finding association rules in very large data. However it is well known that most general association rule discovery methods find too many rules, which...
Lifang Gu, Jiuyong Li, Hongxing He, Graham J. Will...
AIIA
2003
Springer
9 years 8 months ago
Improving the SLA Algorithm Using Association Rules
A bayesian network is an appropriate tool for working with uncertainty and probability, that are typical of real-life applications. In literature we find different approaches for b...
Evelina Lamma, Fabrizio Riguzzi, Andrea Stambazzi,...
ICDM
2003
IEEE
126views Data Mining» more  ICDM 2003»
9 years 9 months ago
Interpretations of Association Rules by Granular Computing
This paper presents interpretations for association rules. It first introduces Pawlak’s method, and the corresponding algorithm of finding decision rules (a kind of association ...
Yuefeng Li, Ning Zhong
ICDM
2003
IEEE
107views Data Mining» more  ICDM 2003»
9 years 9 months ago
Objective and Subjective Algorithms for Grouping Association Rules
We propose two algorithms for grouping and summarizing association rules. The first algorithm recursively groups rules according to the structure of the rules and generates a tre...
Aijun An, Shakil M. Khan, Xiangji Huang
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