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SOSYM
2010
107views more  SOSYM 2010»
15 years 4 months ago
A UML/OCL framework for the analysis of graph transformation rules
In this paper we present an approach for the analysis of graph transformation rules based on an intermediate OCL representation. We translate different rule semantics into OCL, to...
Jordi Cabot, Robert Clarisó, Esther Guerra,...
PKDD
2010
Springer
153views Data Mining» more  PKDD 2010»
15 years 4 months ago
A Robustness Measure of Association Rules
Abstract. We propose a formal definition of the robustness of association rules for interestingness measures. It is a central concept in the evaluation of the rules and has only be...
Yannick Le Bras, Patrick Meyer, Philippe Lenca, St...
ADMA
2008
Springer
152views Data Mining» more  ADMA 2008»
16 years 21 days ago
MPSQAR: Mining Quantitative Association Rules Preserving Semantics
To avoid the loss of semantic information due to the partition of quantitative values, this paper proposes a novel algorithm, called MPSQAR, to handle the quantitative association ...
Chunqiu Zeng, Jie Zuo, Chuan Li, Kaikuo Xu, Shengq...
AIED
2007
Springer
16 years 16 days ago
Learning Tutorial Rules Using Classification Based On Associations
Rules have been showed to be appropriate representations to model tutoring and can be easily applied to intelligent tutoring systems. We applied a machine learning technique, Class...
Xin Lu, Barbara Di Eugenio, Stellan Ohlsson
KR
2004
Springer
15 years 11 months ago
Learning Probabilistic Relational Planning Rules
To learn to behave in highly complex domains, agents must represent and learn compact models of the world dynamics. In this paper, we present an algorithm for learning probabilist...
Hanna Pasula, Luke S. Zettlemoyer, Leslie Pack Kae...