Towards Industrial-Like Random SAT Instances

  title={Towards Industrial-Like Random SAT Instances},
  author={Carlos Ans{\'o}tegui and Maria Luisa Bonet and Jordi Levy},
Huge amounts of data are stored in autonomous, geographically distributed sources. The discovery of previously unknown, implicit and valuable knowledge is a key aspect of the exploitation of such sources. In recent years several approaches to knowledge discovery and data mining, and in particular to clustering, have been developed, but only a few of them are designed for distributed data sources. We propose a novel distributed clustering algorithm based on non-parametric kernel density… CONTINUE READING
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