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» Knowledge Engineering Technique for Cluster Development
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CLEIEJ
2004
94views more  CLEIEJ 2004»
13 years 7 months ago
An ontology-based technique for the specification of domain and user models in multi-agent domain
Because of its facilities for the generalization and specialization of concepts and the unambiguous terminology they provide, ontologies are being used for the representation of re...
Rosario Girardi, Carla Gomes de Faria
KCAP
2009
ACM
13 years 11 months ago
Combining vocabulary alignment techniques
Identifying alignments between vocabularies has become a central knowledge engineering activity. A plethora of alignment techniques has been developed over the past years. In this...
Anna Tordai, Jacco van Ossenbruggen, Guus Schreibe...
KDD
2007
ACM
178views Data Mining» more  KDD 2007»
14 years 7 months ago
Density-based clustering for real-time stream data
Existing data-stream clustering algorithms such as CluStream are based on k-means. These clustering algorithms are incompetent to find clusters of arbitrary shapes and cannot hand...
Yixin Chen, Li Tu
SDM
2009
SIAM
176views Data Mining» more  SDM 2009»
14 years 4 months ago
Constraint-Based Subspace Clustering.
In high dimensional data, the general performance of traditional clustering algorithms decreases. This is partly because the similarity criterion used by these algorithms becomes ...
Élisa Fromont, Adriana Prado, Céline...
DKE
2011
230views Education» more  DKE 2011»
13 years 2 months ago
Supporting concurrent ontology development: Framework, algorithms and tool
We propose a novel approach to facilitate the concurrent development of ontologies by different groups of experts. Our approach adapts Concurrent Versioning, a successful paradigm...
Ernesto Jiménez-Ruiz, Bernardo Cuenca Grau,...