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ER
2004
Springer
103views Database» more  ER 2004»
15 years 11 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
MM
2004
ACM
195views Multimedia» more  MM 2004»
15 years 11 months ago
Hierarchical clustering of WWW image search results using visual, textual and link information
We consider the problem of clustering Web image search results. Generally, the image search results returned by an image search engine contain multiple topics. Organizing the resu...
Deng Cai, Xiaofei He, Zhiwei Li, Wei-Ying Ma, Ji-R...
BMCBI
2007
128views more  BMCBI 2007»
15 years 6 months ago
Model order selection for bio-molecular data clustering
Background: Cluster analysis has been widely applied for investigating structure in bio-molecular data. A drawback of most clustering algorithms is that they cannot automatically ...
Alberto Bertoni, Giorgio Valentini
ETFA
2006
IEEE
16 years 1 days ago
Empirical Evaluation of SysML through the Modeling of an Industrial Automation Unit
Industrial automation systems may include people, hardware, software and others necessaries to produce the desirable results. The SysML modeling language is being proposed, by OMG...
Marcos Vinicius Linhares, Alexandre Jose da Silva,...
205
Voted
IS
2011
15 years 29 days ago
Similarity of business process models: Metrics and evaluation
—It is common for large and complex organizations to maintain repositories of business process models in order to document and to continuously improve their operations. Given suc...
Remco M. Dijkman, Marlon Dumas, Boudewijn F. van D...