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» Generating non-redundant association rules
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ICDE
2008
IEEE
195views Database» more  ICDE 2008»
15 years 11 months ago
Scalable Rule-Based Gene Expression Data Classification
Abstract-- Current state-of-the-art association rule-based classifiers for gene expression data operate in two phases: (i) Association rule mining from training data followed by (i...
Mark A. Iwen, Willis Lang, Jignesh M. Patel
CIKM
2006
Springer
15 years 1 months ago
Multi-evidence, multi-criteria, lazy associative document classification
We present a novel approach for classifying documents that combines different pieces of evidence (e.g., textual features of documents, links, and citations) transparently, through...
Adriano Veloso, Wagner Meira Jr., Marco Cristo, Ma...
ICSOC
2004
Springer
15 years 3 months ago
Associating assertions with business processes and monitoring their execution
Business processes that span organizational borders describe the interaction between multiple parties working towards a common objective. They also express business rules that gov...
Alexander Lazovik, Marco Aiello, Mike P. Papazoglo...
ILP
2003
Springer
15 years 2 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
ESWA
2008
128views more  ESWA 2008»
14 years 9 months ago
Mining the data from a hyperheuristic approach using associative classification
Associative classification is a promising classification approach that utilises association rule mining to construct accurate classification models. In this paper, we investigate ...
Fadi A. Thabtah, Peter I. Cowling