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SDM
2009
SIAM
112views Data Mining» more  SDM 2009»
14 years 5 months ago
A Re-evaluation of the Over-Searching Phenomenon in Inductive Rule Learning.
Most commonly used inductive rule learning algorithms employ a hill-climbing search, whereas local pattern discovery algorithms employ exhaustive search. In this paper, we evaluat...
Frederik Janssen, Johannes Fürnkranz
BMCBI
2006
109views more  BMCBI 2006»
13 years 8 months ago
Integrated analysis of gene expression by association rules discovery
Background: Microarray technology is generating huge amounts of data about the expression level of thousands of genes, or even whole genomes, across different experimental conditi...
Pedro Carmona-Saez, Monica Chagoyen, Andrés...
LOPSTR
2005
Springer
14 years 2 months ago
Declarative Programming with Function Patterns
We propose an extension of functional logic languages that allows the definition of operations with patterns containing other defined operation symbols. Such “function patterns...
Sergio Antoy, Michael Hanus
ATVA
2008
Springer
90views Hardware» more  ATVA 2008»
13 years 10 months ago
Tree Pattern Rewriting Systems
Classical verification often uses abstraction when dealing with data. On the other hand, dynamic XML-based applications have become pervasive, for instance with the ever growing im...
Blaise Genest, Anca Muscholl, Olivier Serre, Marc ...
AUSAI
2003
Springer
14 years 1 months ago
Efficiently Mining Frequent Patterns from Dense Datasets Using a Cluster of Computers
Efficient mining of frequent patterns from large databases has been an active area of research since it is the most expensive step in association rules mining. In this paper, we pr...
Yudho Giri Sucahyo, Raj P. Gopalan, Amit Rudra