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
1. Auflage 2018
ISBN: 978-3-030-04502-9
Verlag: Springer International Publishing

Buch, Englisch, Band 11154, 370 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 593 g

Reihe: Lecture Notes in Computer Science

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.

Zielgruppe

Research

Autoren/Hrsg.

Ganji, Mohadeseh

Wang, Can

Rashidi, Lida

Fung, Benjamin C. M.

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Wissensbasierte Systeme, Expertensysteme
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Data Mining

Inhaltsverzeichnis

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).