Call for Papers
Special Issue on
“Decision Support Systems in Big Data Environments”
forKnowledge-Based Systems (KBS)
Xianyi Zeng (ENSAIT, France), Jie Lu (UTS, Australia)
Email: ,
Purpose:
In a big data environment, companies and individuals willbenefitfrom increased prediction accuracy and real-time business intelligence through receivingpersonalized and data-driven decision-making supports.This special issue aims to offer a systematic overview of this new research field and provide innovative computational intelligent approaches, modelsand systems to effectively support decision making in big data environments. It will provide a leading forum for disseminating the latest results of research, development, and applications in the area of Decision Support Systems in Big Data Environments.
Scope and Topics:
The main topics of this special issue include, but are not limited to, the following:
-Big Data search and mining to support decision making
-Decision-makingand social network
-Decision making and Internet of Things
-Semantic-based data analytics for decision making
-Big Data analysing to support decision making
-Data-driven decision making through machine learning in big data environments
-Data-driven decision support system tools
-Business analytics, intelligence knowledge discovery to support decision making
-Big Data on industrial decision making and social impacts
-Big Data analytics in enterprises and government policy making
Paper submission
Please submit a full-length paper through the KBS journal online submission system and indicate it is to this special issue. Papers should be formatted by followingKBS manuscript formatting guidelines. For any submissionwhich has partly published in FLINS2016 or other conferences, we request authors to have at least 70% extension of their original papers.The submission procedure will be managed by the guest editors and strictly follow the rules of KBS.
The proposed key dates are following:
-15 Jan 2017: submission online;
-15 June 2017: submission of final version.