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Trends and Applications in Knowledge Discovery and Data Mining [electronic resource] : PAKDD 2018 Workshops, BDASC, BDM, ML4Cyber, PAISI, DaMEMO, Melbourne, VIC, Australia, June 3, 2018, Revised Selected Papers / edited by Mohadeseh Ganji, Lida Rashidi, Benjamin C. M. Fung, Can Wang

Published
Cham : Springer International Publishing : Imprint: Springer, 2018.
Edition
1st ed. 2018.
Physical Description
XX, 370 p. 289 illus., 95 illus. in color. online resource
Additional Creators
Ganji, Mohadeseh, Rashidi, Lida, Fung, Benjamin C. M., Wang, Can, and SpringerLink (Online service)
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Contents
Big Data Analytics for Social Computing (BDASC) -- Australasian Workshop on Machine Learning for Cyber-security (ML4Cyber) -- Biologically-inspired Techniques for Knowledge Discovery and Data Mining (BDM) -- Pacific Asia Workshop on Intelligence and Security Informatics (PAISI) -- Data Mining for Energy Modeling and Optimization (DaMEMO).
Summary
This book constitutes the thoroughly refereed post-workshop proceedings at PAKDD Workshops 2018, held in conjunction with the 22nd Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2018, in Melbourne, Australia, in June 2018. The 32 revised papers presented were carefully reviewed and selected from 46 submissions. The workshops affiliated with PAKDD 2018 include: Workshop on Big Data Analytics for Social Computing, BDASC, Australasian Workshop on Machine Learning for Cyber-security, ML4Cyber, Workshop on Biologically-inspired Techniques for Knowledge Discovery and Data Mining, BDM, Pacific Asia Workshop on Intelligence and Security Informatics, PAISI, and Workshop on Data Mining for Energy Modeling and Optimization, DaMEMO.
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Genre(s)
ISBN
9783030045036
9783030045029 (print)
9783030045043 (print)
Digital File Characteristics
text file PDF
Part Of
Springer Nature eBook
View MARC record | catkey: 39693450