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A Parallel Algorithm to Generate Formal Concepts for Large Data

  • Huaiguo Fu
  • Engelbert Mephu Nguifo
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2961)

Abstract

One of the most effective methods to deal with large data for data analysis and data mining is to develop parallel algorithm. Although Formal concept analysis is an effective tool for data analysis and knowledge discovery, it’s very hard for concept lattice structures to face the complexity of very large data. So we propose a new parallel algorithm based on the NextClosure algorithm to generate formal concepts for large data.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2004

Authors and Affiliations

  • Huaiguo Fu
    • 1
  • Engelbert Mephu Nguifo
    • 1
  1. 1.CRIL-CNRS FRE2499, Université d’Artois – IUT de LensLens cedexFrance

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