Special Issue on: "Big Data and Decision Sciences in Management and Engineering"
Prof. Wachara Chantatub, Chulalongkorn University, Thailand
Prof. Chian-Son Yu, Shih Chien University, Taiwan
Prof. Jung-Fa Tsai, National Taipei University of Technology, Taiwan
With the advancement of big-data and decision sciences, these fields become more interacted and popular as well as wider applications in many practices. This special issue focuses on big-data and decision sciences subject areas through its cutting-edge presentation of advanced research, carefully developed applications, and innovative technology components. We will also provide a forum for researchers and practitioners to review and disseminate quality research work on big-data and decision sciences in management and engineering and to identify critical issues for further developments.
Authors are invited to submit original and unpublished research papers as well as review articles on all aspects of big data and decision sciences. Of particular interest are papers devoted to recent developments, innovative applications in management and engineering, case studies and survey results in the area of big data and decision sciences and other related areas.
The issue will carry revised and substantially extended versions of selected papers presented at the international conference on business, big-data, and decision sciences 2017 (ICBBD 2017), but we also strongly encourage researchers unable to participate in the conference to submit articles for this call.
Suitable topics include, but are not limited to, the following:
- Machine learning
- Internet of Things
- Natural language processing
- Business intelligence
- Cloud computing
- Data mining
- Data management
- Distributed, parallel, cloud databases
- Electronic commerce
- Information management
- Pattern recognition
- Online algorithms
- Mining with data clouds
- Web text mining
- Computer science and artificial intelligence
- Probabilistic and statistical methods
- Multi-criteria decision making
- Operations research and management science
- Stochastic optimisation
- Heuristic algorithms
- Game theory
- Risk management
- Customer relationship management
- Health care management
- Operation management
- Management and decision process
- Industrial engineering and manufacturing systems
- Applications and case studies of government, international development, manufacturing, education, media, retailing, service industry, sport, engineering, science and Research etc.
Notes for Prospective Authors
Submitted papers should not have been previously published nor be currently under consideration for publication elsewhere. (N.B. Conference papers may only be submitted if the paper has been completely re-written and if appropriate written permissions have been obtained from any copyright holders of the original paper).
All papers are refereed through a peer review process.
All papers must be submitted online. To submit a paper, please read our Submitting articles page.
Submission deadline of manuscripts: 31 August, 2017
Notification to authors: 31 October, 2017
Final versions due by: 31 December, 2017