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Advances in knowledge discovery and data mining : 22nd Pacific-Asia Conference, PAKDD 2018, Melbourne, VIC, Australia, June 3-6, 2018, Proceedings. Part III

Author: Dinh PhungVincent S TsengGeoffrey I WebbBao HoMohadeseh GanjiAll authors
Publisher: Cham, Switzerland : Springer, 2018.
Series: Lecture notes in computer science, 10939.; Lecture notes in computer science., Lecture notes in artificial intelligence.; LNCS sublibrary., SL 7,, Artificial intelligence.
Edition/Format:   eBook : Document : Conference publication : EnglishView all editions and formats
Summary:
This three-volume set, LNAI 10937, 10938, and 10939, constitutes the thoroughly refereed proceedings of the 22nd Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining, PAKDD 2018, held in Melbourne, VIC, Australia, in June 2018. The 164 full papers were carefully reviewed and selected from 592 submissions. The volumes present papers focusing on new ideas, original research results and practical  Read more...
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Genre/Form: Electronic books
Conference papers and proceedings
Congresses
Additional Physical Format: Printed edition:
Material Type: Conference publication, Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Dinh Phung; Vincent S Tseng; Geoffrey I Webb; Bao Ho; Mohadeseh Ganji; Lida Rashidi
ISBN: 9783319930404 3319930400 9783319930374 3319930370 9783319930411 3319930419
OCLC Number: 1041139274
Notes: Includes author index.
Description: 1 online resource (xxviii, 835 pages) : illustrations
Series Title: Lecture notes in computer science, 10939.; Lecture notes in computer science., Lecture notes in artificial intelligence.; LNCS sublibrary., SL 7,, Artificial intelligence.
Other Titles: PAKDD 2018
Responsibility: Dinh Phung, Vincent S. Tseng, Geoffrey I. Webb, Bao Ho, Mohadeseh Ganji, Lida Rashidi (eds.).

Abstract:

This three-volume set, LNAI 10937, 10938, and 10939, constitutes the thoroughly refereed proceedings of the 22nd Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining, PAKDD  Read more...

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Primary Entity

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