Agent-based Problem Solving Methods in Big Data Environment
Publication Type
Editorial
Publication Date
10-2014
Abstract
This special issue particularly focuses on using agent-based methods to solve the complex computational problems arising in Big Data environments. It covers the recent advances in the areas of distributed problem solving, agent-based data mining, as well as recommendation systems, working with data extracted from both physical and online environments.
Keywords
Agent-based data processing, Big Data, distributed problem solving, social networks
Discipline
Artificial Intelligence and Robotics
Publication
Web Intelligence and Agent Systems
Volume
12
Issue
4
First Page
343
Last Page
345
ISSN
1570-1263
Identifier
10.3233/WIA-140300
Publisher
IOS Press
Citation
ZHANG, Hao Lan and LAU, Hoong Chuin.
Agent-based Problem Solving Methods in Big Data Environment. (2014). Web Intelligence and Agent Systems. 12, (4), 343-345.
Available at: https://ink.library.smu.edu.sg/sis_research/3311
Additional URL
http://dx.doi.org/10.3233/WIA-140300