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» Modeling Default Induction with Conceptual Structures
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ER
2004
Springer
103views Database» more  ER 2004»
15 years 2 months ago
Modeling Default Induction with Conceptual Structures
Our goal is to model the way people induce knowledge from rare and sparse data. This paper describes a theoretical framework for inducing knowledge from these incomplete data descr...
Julien Velcin, Jean-Gabriel Ganascia
JODS
2007
102views Data Mining» more  JODS 2007»
14 years 9 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
ICCS
2004
Springer
15 years 2 months ago
Clustering of Conceptual Graphs with Sparse Data
This paper gives a theoretical framework for clustering a set of conceptual graphs characterized by sparse descriptions. The formed clusters are named in an intelligible manner thr...
Jean-Gabriel Ganascia, Julien Velcin
JAR
2010
122views more  JAR 2010»
14 years 4 months ago
Partial and Nested Recursive Function Definitions in Higher-order Logic
Based on inductive definitions, we develop a tool that automates the definition of partial recursive functions in higher-order logic (HOL) and provides appropriate proof rules for ...
Alexander Krauss
KDD
2004
ACM
171views Data Mining» more  KDD 2004»
15 years 9 months ago
Integrating Web Conceptual Modeling and Web Usage Mining
We present a case study about the application of the inductive database approach to the analysis of Web logs. We consider rich XML Web logs ? called conceptual logs ? that are gen...
Rosa Meo, Pier Luca Lanzi, Maristella Matera, Robe...