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» Mining for Useful Association Rules Using the ATMS
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VLDB
1998
ACM
142views Database» more  VLDB 1998»
13 years 12 months ago
On the Discovery of Interesting Patterns in Association Rules
Many decision support systems, which utilize association rules for discovering interesting patterns, require the discovery of association rules that vary over time. Such rules des...
Sridhar Ramaswamy, Sameer Mahajan, Abraham Silbers...
ICDM
2005
IEEE
139views Data Mining» more  ICDM 2005»
14 years 1 months ago
Approximate Inverse Frequent Itemset Mining: Privacy, Complexity, and Approximation
In order to generate synthetic basket data sets for better benchmark testing, it is important to integrate characteristics from real-life databases into the synthetic basket data ...
Yongge Wang, Xintao Wu
IJSWIS
2007
133views more  IJSWIS 2007»
13 years 7 months ago
Association Rule Ontology Matching Approach
This paper presents a hybrid, extensional and asymmetric matching approach designed to find out semantic relations (equivalence and subsumption) between entities issued from two ...
Jérôme David, Fabrice Guillet, Henri ...
JOT
2006
105views more  JOT 2006»
13 years 7 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
ESANN
2004
13 years 9 months ago
Neural networks for data mining: constrains and open problems
When we talk about using neural networks for data mining we have in mind the original data mining scope and challenge. How did neural networks meet this challenge? Can we run neura...
Razvan Andonie, Boris Kovalerchuk