High-performance data mining with skeleton-based structured parallel programming

@article{Coppola2002HighperformanceDM,
  title={High-performance data mining with skeleton-based structured parallel programming},
  author={Massimo Coppola and Marco Vanneschi},
  journal={Parallel Computing},
  year={2002},
  volume={28},
  pages={793-813}
}
We show how to apply a structured parallel programming (SPP) methodology based on skeletons to data mining (DM) problems, reporting several results about three commonly used mining techniques, namely association rules, decision tree induction and spatial clustering. We analyze the structural patterns common to these applications, looking at application performance and software engineering efficiency. Our aim is to clearly state what features a SPP environment should have to be useful for… CONTINUE READING
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