TY  - BOOK
AU  - Ganji,Mohadeseh
AU  - Rashidi,Lida
AU  - Fung,Benjamin C.M.
AU  - Wang,Can
ED  - SpringerLink (Online service)
TI  - 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 
T2  - Lecture Notes in Artificial Intelligence
SN  - 9783030045036
AV  - Q334-342 
U1  - 006.3 23
PY  - 2018///
CY  - Cham
PB  - Springer International Publishing, Imprint: Springer
KW  - Artificial intelligence
KW  - Data mining
KW  - Application software
KW  - Computer security
KW  - Computer communication systems
KW  - Artificial Intelligence
KW  - Data Mining and Knowledge Discovery
KW  - Information Systems Applications (incl. Internet)
KW  - Systems and Data Security
KW  - Computer Appl. in Social and Behavioral Sciences
KW  - Computer Communication Networks
N1  - Acceso multiusuario; 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)
N2  - 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
UR  - http://148.231.10.114:2048/login?url=https://doi.org/10.1007/978-3-030-04503-6
ER  -