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...
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...
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 ...
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,...
—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...