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-Verlag , Berlin , pp. 98-105.

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Authors/Creators:
Keywords: Computer Science,Theoretical Computer Science
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: 05 Aug 2021 09:20
Published Version: https://doi.org/10.1007/978-3-642-40728-4_13
Status: Published
Publisher: Springer-Verlag
Series Name: Lecture Notes in Computer Science
Refereed: Yes
Identification Number: https://doi.org/10.1007/978-3-642-40728-4_13

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Description: Improving the Associative Rule Chaining Architecture

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