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DKE
2002
218views more  DKE 2002»
13 years 7 months ago
Computing iceberg concept lattices with T
We introduce the notion of iceberg concept lattices and show their use in knowledge discovery in databases. Iceberg lattices are a conceptual clustering method, which is well suit...
Gerd Stumme, Rafik Taouil, Yves Bastide, Nicolas P...
IV
2008
IEEE
296views Visualization» more  IV 2008»
14 years 2 months ago
Revealing Subnetwork Roles using Contextual Visualization: Comparison of Metabolic Networks
This article is addressing a recurrent problem in biology: mining newly built large scale networks. Our approach consists in comparing these new networks to well known ones. The v...
Romain Bourqui, Fabien Jourdan
ADBIS
2007
Springer
132views Database» more  ADBIS 2007»
14 years 2 months ago
Clustering Approach to Generalized Pattern Identification Based on Multi-instanced Objects with DARA
Clustering is an essential data mining task with various types of applications. Traditional clustering algorithms are based on a vector space model representation. A relational dat...
Rayner Alfred, Dimitar Kazakov
ER
2006
Springer
145views Database» more  ER 2006»
13 years 11 months ago
Combining Declarative and Procedural Knowledge to Automate and Represent Ontology Mapping
Ontologies on the Semantic Web are by nature decentralized. From the body of ontology mapping approaches, we can draw a conclusion that an effective approach to automate ontology m...
Li Xu, David W. Embley, Yihong Ding
DOLAP
2004
ACM
14 years 1 months ago
Developing a characterization of business intelligence workloads for sizing new database systems
Computer system sizing involves estimating the amount of hardware resources needed to support a new workload not yet deployed in a production environment. In order to determine th...
Ted J. Wasserman, Patrick Martin, David B. Skillic...