Improving the associative rule chaining architecture

Burles, Nathan John orcid.org/0000-0003-3030-1675, O'Keefe, Simon orcid.org/0000-0001-5957-2474 and Austin, Jim orcid.org/0000-0001-5762-8614 (2013) Improving the associative rule chaining architecture. In: Mladenov, V, Palm, G, Appollini, B, Koprinkova-Hristova, P, Villa, A and Kasabov, N, (eds.) Artificial Neural Networks and Machine Learning - ICANN 2013. Lecture Notes in Computer Science. Springer, Berlin, pp. 98-105.

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Metadata

Item Type: Book Section
Authors/Creators:
Editors:
  • Mladenov, V
  • Palm, G
  • Appollini, B
  • Koprinkova-Hristova, P
  • Villa, A
  • Kasabov, N
Dates:
  • Published: 2013
Institution: The University of York
Academic Units: The University of York > Faculty of Sciences (York) > Computer Science (York)
Depositing User: Pure (York)
Date Deposited: 25 Apr 2014 14:00
Last Modified: 20 Sep 2025 02:33
Published Version: https://doi.org/10.1007/978-3-642-40728-4_13
Status: Published
Publisher: Springer
Series Name: Lecture Notes in Computer Science
Refereed: Yes
Identification Number: 10.1007/978-3-642-40728-4_13
Open Archives Initiative ID (OAI ID):

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