Quran question and answer corpus for data mining with WEKA

Hamoud, B and Atwell, ES orcid.org/0000-0001-9395-3764 (2016) Quran question and answer corpus for data mining with WEKA. In: 2016 Conference of Basic Sciences and Engineering Studies (SGCAC). 2016 Conference of Basic Sciences and Engineering Studies (SGCAC), 20-23 Feb 2016, Khartoum, Sudan. IEEE , pp. 211-216. ISBN 978-1-5090-1811-6

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Copyright, Publisher and Additional Information: (c) 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.
Keywords: Data mining, WEKA, dataset, Corpus, Quran
Dates:
  • Published: 23 February 2016
  • Accepted: 1 December 2015
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering (Leeds) > School of Computing (Leeds) > Artificial Intelligence & Biological Systems (Leeds)
Funding Information:
FunderGrant number
EPSRCEP/K015206/1
Depositing User: Symplectic Publications
Date Deposited: 17 Jun 2016 11:44
Last Modified: 15 Nov 2016 21:26
Published Version: http://dx.doi.org/10.1109/SGCAC.2016.7458032
Status: Published
Publisher: IEEE
Identification Number: https://doi.org/10.1109/SGCAC.2016.7458032

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