Principles of employing a self-organizing map as a frequent itemset miner

Baez-Monroy, V.O. and O’Keefe, S. (2005) Principles of employing a self-organizing map as a frequent itemset miner. In: Artificial Neural Networks: Biological Inspirations. Porceedings of ICANN 2005. ICANN 2005: 15th International Conference, September 11-15, 2005, Warsaw, Poland. Lecture Notes in Computer Science, Part I (3696). Springer-verlag , Berlin / Heidelberg , pp. 363-370. ISBN 978-3-540-28752-0

Abstract

Metadata

Authors/Creators:
  • Baez-Monroy, V.O.
  • O’Keefe, S. (semok100@york.ac.uk)
Dates:
  • Published: 2005
Institution: The University of York
Academic Units: The University of York > Faculty of Sciences (York) > Computer Science (York)
Depositing User: York RAE Import
Date Deposited: 08 Apr 2009 16:15
Last Modified: 08 Apr 2009 16:15
Published Version: http://dx.doi.org/10.1007/11550822_57
Status: Published
Publisher: Springer-verlag
Series Name: Lecture Notes in Computer Science
Identification Number: https://doi.org/10.1007/11550822_57

Download not available

A full text copy of this item is not currently available from White Rose Research Online

Export

Statistics