A New Effective and Efficient Measure for Outlying Aspect Mining Samariya, D., Aryal, Sunil, Ting, K.M. and Ma, J. 2020, A New Effective and Efficient Measure for Outlying Aspect Mining, in WISE 2020 : Proceedings of the 21st International Conference on Web Information Systems Engineering, Springer, Berlin, Germany, pp. 463-474, doi: 10.1007/978-3-030-62008-0_32. Attached Files Name Description MIMEType Size Downloads Title A New Effective and Efficient Measure for Outlying Aspect Mining Author(s) Samariya, D. Aryal, Sunil orcid.org/0000-0002-6639-6824 Ting, K.M. Ma, J. Conference name Web Information Systems Engineering. Conference (2020 : 21st : Amsterdam, The Netherlands) Conference location Amsterdam, The Netherlands Conference dates 20-24 Oct. 2020 Title of proceedings WISE 2020 : Proceedings of the 21st International Conference on Web Information Systems Engineering Publication date 2020 Series Lecture Notes in Computer Science Start page 463 End page 474 Total pages 12 Publisher Springer Place of publication Berlin, Germany Keyword(s) CORE2020 A ISBN 9783030620073 ISSN 0302-9743 1611-3349 Language eng DOI 10.1007/978-3-030-62008-0_32 Indigenous content off HERDC Research category E1 Full written paper - refereed Persistent URL http://hdl.handle.net/10536/DRO/DU:30144638 Document type: Conference Paper Collections: Faculty of Science, Engineering and Built Environment School of Information Technology Related Links Link Description Connect to published version Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Versions Version Filter Type Wed, 28 Oct 2020, 17:03:19 EST Thu, 29 Oct 2020, 04:03:03 EST Thu, 29 Oct 2020, 06:12:53 EST Mon, 02 Nov 2020, 16:13:12 EST Tue, 03 Nov 2020, 05:04:45 EST Tue, 03 Nov 2020, 09:36:08 EST Tue, 03 Nov 2020, 09:38:28 EST Tue, 03 Nov 2020, 15:00:49 EST Sat, 12 Dec 2020, 01:42:13 EST Filtered Full Citation counts:   Cited 0 times in TR Web of Science Cited 0 times in Scopus Search Google Scholar Access Statistics: 63 Abstract Views, 0 File Downloads  -  Detailed Statistics Created: Mon, 02 Nov 2020, 16:13:12 EST

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