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AI
2001
Springer
14 years 2 months ago
A Low-Scan Incremental Association Rule Maintenance Method Based on the Apriori Property
As new transactions update data sources and subsequently the data warehouse, the previously discovered association rules in the old database may no longer be interesting rules in ...
Zequn Zhou, C. I. Ezeife
CORR
2008
Springer
99views Education» more  CORR 2008»
13 years 8 months ago
Extension of Inagaki General Weighted Operators and A New Fusion Rule Class of Proportional Redistribution of Intersection Masse
In this paper we extend Inagaki Weighted Operators fusion rule (WO) [see 1, 2] in information fusion by doing redistribution of not only the conflicting mass, but also of masses o...
Florentin Smarandache
DSS
2007
127views more  DSS 2007»
13 years 9 months ago
Large-scale regulatory network analysis from microarray data: modified Bayesian network learning and association rule mining
We present two algorithms for learning large-scale gene regulatory networks from microarray data: a modified informationtheory-based Bayesian network algorithm and a modified asso...
Zan Huang, Jiexun Li, Hua Su, George S. Watts, Hsi...
CORR
2004
Springer
136views Education» more  CORR 2004»
13 years 9 months ago
Automatic Generation of CHR Constraint Solvers
In this paper, we present a framework for automatic generation of CHR solvers given the logical specification of the constraints. This approach takes advantage of the power of tab...
Slim Abdennadher, Christophe Rigotti
COLING
2000
13 years 11 months ago
Learning Semantic-Level Information Extraction Rules by Type-Oriented ILP
This paper describes an approach to using semantic rcprcsentations for learning information extraction (IE) rules by a type-oriented inductire logic programming (ILl)) system. NLP...
Yutaka Sasaki, Yoshihiro Matsuo