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KDD
1997
ACM
208views Data Mining» more  KDD 1997»
13 years 8 months ago
Metarule-Guided Mining of Multi-Dimensional Association Rules Using Data Cubes
In this paper, we employ a novel approach to metarule-guided, multi-dimensional association rule mining which explores a data cube structure. We propose algorithms for metarule-gu...
Micheline Kamber, Jiawei Han, Jenny Chiang
FQAS
2000
Springer
137views Database» more  FQAS 2000»
13 years 8 months ago
Towards the Tractable Discovery of Association Rules with Negations
Frequent association rules (e.g., AB C to say that when properties A and B are true in a record then, C tends to be also true) have become a popular way to summarize huge datasets...
Jean-François Boulicaut, Artur Bykowski, Ba...
CIKM
2006
Springer
13 years 8 months ago
An integer programming approach for frequent itemset hiding
The rapid growth of transactional data brought, soon enough, into attention the need of its further exploitation. In this paper, we investigate the problem of securing sensitive k...
Aris Gkoulalas-Divanis, Vassilios S. Verykios
AUSAI
2004
Springer
13 years 8 months ago
Using Classification to Evaluate the Output of Confidence-Based Association Rule Mining
Abstract. Association rule mining is a data mining technique that reveals interesting relationships in a database. Existing approaches employ different parameters to search for int...
Stefan Mutter, Mark Hall, Eibe Frank
AMT
2006
Springer
91views Multimedia» more  AMT 2006»
13 years 8 months ago
Rough Set Model for Constraint-based Multi-dimensional Association Rule Mining
Abstract. This paper presents a rough set model for constraint-based multidimensional association rule mining. It first overviews the progress in constraintbased multi-dimensional ...
Wanzhong Yang, Yuefeng Li, Yue Xu, Hang Liu
ISCC
2002
IEEE
147views Communications» more  ISCC 2002»
13 years 9 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
2003
IEEE
91views Data Mining» more  ICDM 2003»
13 years 9 months ago
MPIS: Maximal-Profit Item Selection with Cross-Selling Considerations
In the literature of data mining, many different algorithms for association rule mining have been proposed. However, there is relatively little study on how association rules can ...
Raymond Chi-Wing Wong, Ada Wai-Chee Fu, Ke Wang
ICDM
2003
IEEE
126views Data Mining» more  ICDM 2003»
13 years 9 months ago
Mining Relevant Text from Unlabelled Documents
Automatic classification of documents is an important area of research with many applications in the fields of document searching, forensics and others. Methods to perform class...
Daniel Barbará, Carlotta Domeniconi, Ning K...
DEXA
2004
Springer
153views Database» more  DEXA 2004»
13 years 10 months ago
A New Approach of Eliminating Redundant Association Rules
Two important constraints of association rule mining algorithm are support and confidence. However, such constraints-based algorithms generally produce a large number of redundant ...
Mafruz Zaman Ashrafi, David Taniar, Kate A. Smith
DAWAK
2004
Springer
13 years 10 months ago
A Tree Partitioning Method for Memory Management in Association Rule Mining
All methods of association rule mining require the frequent sets of items, that occur together sufficiently often to be the basis of potentially interesting rules, to be first com...
Shakil Ahmed, Frans Coenen, Paul H. Leng