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» Selective association rule generation
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BMCBI
2008
101views more  BMCBI 2008»
15 years 4 months ago
Reranking candidate gene models with cross-species comparison for improved gene prediction
Background: Most gene finders score candidate gene models with state-based methods, typically HMMs, by combining local properties (coding potential, splice donor and acceptor patt...
Qian Liu, Koby Crammer, Fernando C. N. Pereira, Da...
FSKD
2005
Springer
90views Fuzzy Logic» more  FSKD 2005»
15 years 10 months ago
Direct Candidates Generation: A Novel Algorithm for Discovering Complete Share-Frequent Itemsets
The value of the itemset share is one way of evaluating the magnitude of an itemset. From business perspective, itemset share values reflect more the significance of itemsets for m...
Yu-Chiang Li, Jieh-Shan Yeh, Chin-Chen Chang
FIMI
2003
210views Data Mining» more  FIMI 2003»
15 years 5 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 9 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
SAC
2008
ACM
15 years 4 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...