Open source data mining: workshop report

  • Authors:
  • Bart Goethals;Siegfried Nijssen;Mohammed J. Zaki

  • Affiliations:
  • University of Antwerp, Antwerp, Belgium;LIACS, Universiteit Leiden, Leiden, The Netherlands;Rensselaer Polytechnic Institute, Troy, NY

  • Venue:
  • ACM SIGKDD Explorations Newsletter
  • Year:
  • 2005

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Abstract

Over the past decade tremendous progress has been made in data mining methods like clustering, classification, frequent pattern mining, and so on. Unfortunately, however, the advanced implementations are often not made publicly available, and thus the results cannot be independently verified. We believe that this hampers the rapid advances in the field. With this workshop we intended to promote open source data mining (OSDM) by creating a first meeting place to discuss open source data mining methods.