Trans2Vec: Learning transaction embedding via items and frequent itemsets Nguyen, Dang, Nguyen, Tu Dinh, Luo, Wei and Venkatesh, Svetha 2018, Trans2Vec: Learning transaction embedding via items and frequent itemsets, in PAKDD 2018 : Advances in Knowledge Discovery and Data Mining : Proceedings of 22nd Pacific-Asia Conference, Springer, Cham, Switzerland, pp. 361-372, doi: 10.1007/978-3-319-93040-4_29. Attached Files Name Description MIMEType Size Downloads Title Trans2Vec: Learning transaction embedding via items and frequent itemsets Author(s) Nguyen, Dang orcid.org/0000-0002-0401-988X Nguyen, Tu Dinh Luo, Wei orcid.org/0000-0002-4711-7543 Venkatesh, Svetha orcid.org/0000-0001-8675-6631 Conference name Knowledge Discovery and Data Mining. Pacific-Asia Conference (22nd : 2018 : Melbourne, Victoria) Conference location Melbourne, Victoria Conference dates 2018/06/03 - 2018/06/06 Title of proceedings PAKDD 2018 : Advances in Knowledge Discovery and Data Mining : Proceedings of 22nd Pacific-Asia Conference Editor(s) Phung, D Tseng, V Webb, G Ho, B Ganji, M Rashidi, L Publication date 2018 Series Lecture Notes in Computer Science Start page 361 End page 372 Total pages 12 Publisher Springer Place of publication Cham, Switzerland ISBN 9783319930398 ISSN 0302-9743 1611-3349 Language eng DOI 10.1007/978-3-319-93040-4_29 Field of Research 08 Information And Computing Sciences HERDC Research category E1 Full written paper - refereed ERA Research output type E Conference publication Persistent URL http://hdl.handle.net/10536/DRO/DU:30111457 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 Mon, 16 Jul 2018, 21:19:24 EST Tue, 17 Jul 2018, 05:00:50 EST Tue, 24 Jul 2018, 09:45:44 EST Tue, 26 Feb 2019, 05:02:03 EST Tue, 26 Feb 2019, 14:20:47 EST Tue, 26 Feb 2019, 14:23:03 EST Tue, 26 Feb 2019, 14:25:19 EST Filtered Full Citation counts:   Cited 0 times in TR Web of Science Cited 4 times in Scopus Search Google Scholar Access Statistics: 305 Abstract Views, 2 File Downloads  -  Detailed Statistics Created: Tue, 24 Jul 2018, 09:45:44 EST

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