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» Generating non-redundant association rules
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FIMI
2003
210views Data Mining» more  FIMI 2003»
14 years 11 months ago
COFI-tree Mining: A New Approach to Pattern Growth with Reduced Candidacy Generation
Existing association rule mining algorithms suffer from many problems when mining massive transactional datasets. Some of these major problems are: (1) the repetitive I/O disk sca...
Osmar R. Zaïane, Mohammad El-Hajj
3DPVT
2002
IEEE
108views Visualization» more  3DPVT 2002»
15 years 2 months ago
Probabilistic 3D Data Fusion for Adaptive Resolution Surface Generation
In this paper we present an algorithm for adaptive resolution integration of 3D data collected from multiple distributed sensors. The input to the algorithm is a set of 3D surface...
Andrew E. Johnson, Roberto Manduchi
101
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SAC
2008
ACM
14 years 9 months ago
UML-based design test generation
In this paper we investigate and propose a fully automated technique to perform conformance checking of Java implementations against UML class diagrams. In our approach, we reused...
Waldemar Pires, João Brunet, Franklin Ramal...
JSS
2006
99views more  JSS 2006»
14 years 9 months ago
Automatic generation of assumptions for modular verification of software specifications
Model checking is a powerful automated technique mainly used for the verification of properties of reactive systems. In practice, model checkers are limited due to the state explos...
Claudio de la Riva, Javier Tuya
87
Voted
CORR
2010
Springer
279views Education» more  CORR 2010»
14 years 9 months ago
Mining Frequent Itemsets Using Genetic Algorithm
In general frequent itemsets are generated from large data sets by applying association rule mining algorithms like Apriori, Partition, Pincer-Search, Incremental, Border algorithm...
Soumadip Ghosh, Sushanta Biswas, Debasree Sarkar, ...