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» New probabilistic interest measures for association rules
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ILP
1999
Springer
15 years 4 months ago
Rule Evaluation Measures: A Unifying View
Numerous measures are used for performance evaluation in machine learning. In predictive knowledge discovery, the most frequently used measure is classification accuracy. With new...
Nada Lavrac, Peter A. Flach, Blaz Zupan
ISVC
2007
Springer
15 years 5 months ago
Geographic Image Retrieval Using Interest Point Descriptors
Abstract. We investigate image retrieval using interest point descriptors. New geographic information systems such as Google Earth and Microsoft Virtual Earth are providing increas...
Shawn Newsam, Yang Yang
IDA
2010
Springer
14 years 10 months ago
Three alternative combinatorial formulations of the theory of evidence
In this paper we introduce three alternative combinatorial formulations of the theory of evidence (ToE), by proving that both plausibility and commonality functions share the stru...
Fabio Cuzzolin
ICFCA
2007
Springer
15 years 3 months ago
A New and Useful Syntactic Restriction on Rule Semantics for Tabular Datasets
Different rule semantics have been successively defined in many contexts such as implications in artificial intelligence, functional dependencies in databases or association rules...
Marie Agier, Jean-Marc Petit
ECAI
2006
Springer
15 years 3 months ago
Conceptual Hierarchies Matching: An Approach Based on Discovery of Implication Rules Between Concepts
Abstract. Most research works about ontology or schema matching are based on symmetric similarity measures. By transposing the association rules paradigm, we propose to use asymmet...
Jérôme David, Fabrice Guillet, R&eacu...