Trends and applications in knowledge discovery and data mining : PAKDD 2018 Workshops, BDASC, BDM, ML4Cyber, PAISI, DaMEMO, Melbourne, VIC, Australia, June 3, 2018, Revised selected papers / Mohadeseh Ganji, Lida Rashidi, Benjamin C. M. Fung, Can Wang (eds.).
PAKDD (Conference) (22nd : 2018 : Melbourne, Vic.); Ganji, Mohadeseh, editor.; Rashidi, Lida, editor.; Fung, Benjamin C. M., editor.; Wang, Can, editor.; BDASC (Workshop) (2018 : Melbourne, Vic.), jointly held conference.; BDM (Workshop) (2018 : Melbourne, Vic.), jointly held conference.; ML4Cyber (Workshop) (2018 : Melbourne, Vic.), jointly held conference.; PAISI (Workshop) (2018 : Melbourne, Vic.), jointly held conference.; DaMEMO (Workshop) (2018 : Melbourne, Vic.), jointly held conference.
2018
QA76.9.D343
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Title
Trends and applications in knowledge discovery and data mining : PAKDD 2018 Workshops, BDASC, BDM, ML4Cyber, PAISI, DaMEMO, Melbourne, VIC, Australia, June 3, 2018, Revised selected papers / Mohadeseh Ganji, Lida Rashidi, Benjamin C. M. Fung, Can Wang (eds.).
Meeting Name
PAKDD (Conference) (22nd : 2018 : Melbourne, Vic.)
ISBN
9783030045036 (electronic book)
303004503X (electronic book)
9783030045029
303004503X (electronic book)
9783030045029
Published
Cham : Springer, 2018.
Language
English
Description
1 online resource (xx, 370 pages) : illustrations.
Other Standard Identifiers
10.1007/978-3-030-04503-6 doi
Call Number
QA76.9.D343
Dewey Decimal Classification
006.3/12
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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Access limited to authorized users.
Digital File Characteristics
text file PDF
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed December 21, 2018).
Added Author
Ganji, Mohadeseh, editor.
Rashidi, Lida, editor.
Fung, Benjamin C. M., editor.
Wang, Can, editor.
Rashidi, Lida, editor.
Fung, Benjamin C. M., editor.
Wang, Can, editor.
Added Meeting Name
BDASC (Workshop) (2018 : Melbourne, Vic.), jointly held conference.
BDM (Workshop) (2018 : Melbourne, Vic.), jointly held conference.
ML4Cyber (Workshop) (2018 : Melbourne, Vic.), jointly held conference.
PAISI (Workshop) (2018 : Melbourne, Vic.), jointly held conference.
DaMEMO (Workshop) (2018 : Melbourne, Vic.), jointly held conference.
BDM (Workshop) (2018 : Melbourne, Vic.), jointly held conference.
ML4Cyber (Workshop) (2018 : Melbourne, Vic.), jointly held conference.
PAISI (Workshop) (2018 : Melbourne, Vic.), jointly held conference.
DaMEMO (Workshop) (2018 : Melbourne, Vic.), jointly held conference.
Series
Lecture notes in computer science. Lecture notes in artificial intelligence.
Lecture notes in computer science ; 11154.
LNCS sublibrary. SL 7, Artificial intelligence.
Lecture notes in computer science ; 11154.
LNCS sublibrary. SL 7, Artificial intelligence.
Available in Other Form
Print version: 9783030045029
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Table of 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).
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).