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Open source data mining: workshop report

Published: 01 December 2005 Publication History

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.

References

[1]
Bart Goethals and Mohammed Javeed Zaki, editors. FIMI '03, Frequent Itemset Mining Implementations, Proceedings of the ICDM 2003 Workshop on Frequent Itemset Mining Implementations, 19 December 2003, Melbourne, Florida, USA, volume 90 of CEUR Workshop Proceedings. CEUR-WS.org, 2003.
[2]
Roberto J. Bayardo Jr., Bart Goethals, and Mohammed Javeed Zaki, editors. FIMI '04, Proceedings of the IEEE ICDM Workshop on Frequent Itemset Mining Implementations, Brighton, UK, November 1, 2004, volume 126 of CEUR Workshop Proceedings. CEUR-WS.org, 2004.

Cited By

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  • (2010)The iZi Project: Easy Prototyping of Interesting Pattern Mining AlgorithmsNew Frontiers in Applied Data Mining10.1007/978-3-642-14640-4_1(1-15)Online publication date: 2010
  • (2009)The iZi projectProceedings of the 13th Pacific-Asia international conference on Knowledge discovery and data mining: new frontiers in applied data mining10.5555/1883700.1883701(1-15)Online publication date: 27-Apr-2009
  • (2009)A new sampling technique for association rule miningJournal of Information Science10.1177/016555150810038235:3(358-376)Online publication date: 1-Jun-2009

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Published In

cover image ACM SIGKDD Explorations Newsletter
ACM SIGKDD Explorations Newsletter  Volume 7, Issue 2
December 2005
152 pages
ISSN:1931-0145
EISSN:1931-0153
DOI:10.1145/1117454
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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 01 December 2005
Published in SIGKDD Volume 7, Issue 2

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Cited By

View all
  • (2010)The iZi Project: Easy Prototyping of Interesting Pattern Mining AlgorithmsNew Frontiers in Applied Data Mining10.1007/978-3-642-14640-4_1(1-15)Online publication date: 2010
  • (2009)The iZi projectProceedings of the 13th Pacific-Asia international conference on Knowledge discovery and data mining: new frontiers in applied data mining10.5555/1883700.1883701(1-15)Online publication date: 27-Apr-2009
  • (2009)A new sampling technique for association rule miningJournal of Information Science10.1177/016555150810038235:3(358-376)Online publication date: 1-Jun-2009

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