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» A Rule Format for Associativity
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DAWAK
2003
Springer
15 years 9 months ago
Using an Interest Ontology for Improved Support in Rule Mining
Abstract. This paper describes the use of a concept hierarchy for improving the results of association rule mining. Given a large set of tuples with demographic information and per...
Xiaoming Chen, Xuan Zhou, Richard B. Scherl, James...
ICDM
2003
IEEE
91views Data Mining» more  ICDM 2003»
15 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
CONCUR
2005
Springer
15 years 10 months ago
SOS for Higher Order Processes
d Abstract) MohammadReza Mousavi1 , Murdoch J. Gabbay2 , and Michel A. Reniers1 1 Department of Computer Science, 2 Department of Computer Science, Eindhoven University of Technolo...
Mohammad Reza Mousavi, Murdoch Gabbay, Michel A. R...
145
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CORR
2011
Springer
223views Education» more  CORR 2011»
14 years 11 months ago
Decentralized Formation Control Part I: Geometric Aspects
In this paper, we develop new methods for the analysis of decentralized control systems and we apply them to formation control problems. The basic set-up consists of a system with...
Mohamed-Ali Belabbas
ESWA
2008
128views more  ESWA 2008»
15 years 4 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