31 search results - page 1 / 7 » Clustering of Conceptual Graphs with Sparse Data |
ICCS
2004
Springer
13 years 10 months ago
2004
Springer
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...
ER
2004
Springer
13 years 10 months ago
2004
Springer
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...
FLAIRS
2000
13 years 6 months ago
2000
Hierarchical conceptual clustering has been proven to be a useful data mining technique. Graph-based representation of structural information has been shown to be successful in kn...
JODS
2007
13 years 4 months ago
2007
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...
CIKM
2008
Springer
13 years 6 months ago
2008
Springer
This work addresses the use of computational linguistic analysis techniques for conceptual graphs learning from unstructured texts. A technique including both content mining and i...