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» Incompleteness of Behavioral Logics
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JODS
2007
102views Data Mining» more  JODS 2007»
13 years 8 months ago
Default Clustering with Conceptual Structures
This paper describes a theoretical framework for inducing knowledge from incomplete data sets. The general framework can be used with any formalism based on a lattice structure. It...
Julien Velcin, Jean-Gabriel Ganascia
BIRTHDAY
2006
Springer
14 years 11 days ago
Proving Behavioral Refinements of COL-specifications
The COL institution (constructor-based observational logic) has been introduced as a formal framework to specify both generationand observation-oriented properties of software syst...
Michel Bidoit, Rolf Hennicker
CSDA
2006
94views more  CSDA 2006»
13 years 8 months ago
The nature of sensitivity in monotone missing not at random models
Models for incomplete longitudinal data under missingness not at random have gained some popularity. At the same time, cautionary remarks have been issued regarding their sensitiv...
Ivy Jansen, Niel Hens, Geert Molenberghs, Marc Aer...
ICLP
2010
Springer
13 years 7 months ago
Runtime Addition of Integrity Constraints in an Abductive Proof Procedure
Abductive Logic Programming is a computationally founded representation of abductive reasoning. In most ALP frameworks, integrity constraints express domainspecific logical relati...
Marco Alberti, Marco Gavanelli, Evelina Lamma
ICCSA
2005
Springer
14 years 2 months ago
M of N Features vs. Intrusion Detection
In order to complement the incomplete training audit trails, model generalization is always utilized to infer more unknown knowledge for intrusion detection. Thus, it is important ...
Zhuowei Li, Amitabha Das