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Special issue on granular computing and data mining

Authors:

Tsau Y. Lin,

Lotfi A. ZadehAuthors Info & Claims

International Journal of Intelligent Systems, Volume 19, Issue 7

Pages 565 - 566

Published: 01 July 2004 Publication History

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Lin SZhang KGuan DHe LChen Y(2023)An intrusion detection method based on granular autoencodersJournal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology10.3233/JIFS-22364944:5(8413-8424)Online publication date: 1-Jan-2023
https://dl.acm.org/doi/10.3233/JIFS-223649
Hońko P(2019)Description Languages for Relational Information GranulesFundamenta Informaticae10.5555/2768338.2768340137:3(323-340)Online publication date: 4-Jan-2019
https://dl.acm.org/doi/10.5555/2768338.2768340
Hońko P(2019)Similarity-Based Classification in Relational DatabasesFundamenta Informaticae10.5555/1883466.1883469101:3(187-213)Online publication date: 4-Jan-2019
https://dl.acm.org/doi/10.5555/1883466.1883469
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Special issue on granular computing and data mining
1. Information systems
  1. Information systems applications
2. Theory of computation

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cover image International Journal of Intelligent Systems

International Journal of Intelligent Systems Volume 19, Issue 7

Granular Computing and Data Mining

July 2004

133 pages

ISSN:0884-8173

Issue’s Table of Contents

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John Wiley and Sons Ltd.

United Kingdom

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Published: 01 July 2004

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Lin SZhang KGuan DHe LChen Y(2023)An intrusion detection method based on granular autoencodersJournal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology10.3233/JIFS-22364944:5(8413-8424)Online publication date: 1-Jan-2023
https://dl.acm.org/doi/10.3233/JIFS-223649
Hońko P(2019)Description Languages for Relational Information GranulesFundamenta Informaticae10.5555/2768338.2768340137:3(323-340)Online publication date: 4-Jan-2019
https://dl.acm.org/doi/10.5555/2768338.2768340
Hońko P(2019)Similarity-Based Classification in Relational DatabasesFundamenta Informaticae10.5555/1883466.1883469101:3(187-213)Online publication date: 4-Jan-2019
https://dl.acm.org/doi/10.5555/1883466.1883469
Hońko P(2019)Recent granular computing frameworks for mining relational dataArtificial Intelligence Review10.1007/s10462-018-9643-152:4(2705-2742)Online publication date: 1-Dec-2019
https://dl.acm.org/doi/10.1007/s10462-018-9643-1
Hońko P(2018)Granular computing for relational data classificationJournal of Intelligent Information Systems10.1007/s10844-013-0241-z41:2(187-210)Online publication date: 28-Dec-2018
https://dl.acm.org/doi/10.1007/s10844-013-0241-z
Hońko P(2016)Properties of a Granular Computing Framework for Mining Relational DataInternational Journal of Intelligent Systems10.1002/int.2183932:3(227-248)Online publication date: 26-Aug-2016
https://dl.acm.org/doi/10.1002/int.21839
Hońko P(2015)Relation-based granules to represent relational data and patternsApplied Soft Computing10.1016/j.asoc.2015.08.04537:C(467-478)Online publication date: 1-Dec-2015
https://dl.acm.org/doi/10.1016/j.asoc.2015.08.045
HońKo P(2013)Association discovery from relational data via granular computingInformation Sciences: an International Journal10.1016/j.ins.2013.01.004234(136-149)Online publication date: 1-Jun-2013
https://dl.acm.org/doi/10.1016/j.ins.2013.01.004

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