Big Data and Business Analytics
SCOPE
We are entering the era of Big Data, which is characterized by the three Vs: volume, velocity, and variety (McAfee et al, 2012). Big Data bring new opportunities to modern society and challenges to data scientists. Business decision-makers and government policy-makers are increasingly turning to Big Data for insight to solve complex problems. Big Data by itself, regardless of the size, type, or accumulation speed, is worthless unless business analytics are employed by managers and decision makers to deliver value to their organizations. Big data analytics is the process of mining large data sets to uncover hidden patterns, unknown correlations, market trends, customer preferences and other useful business information. The analytical findings can lead to more effective marketing, new revenue opportunities, better customer service, improved operational efficiency, competitive advantages over rival organizations and other business benefits.
This workshop encourages submission of innovative technologies, methodologies, and theories in big data and business analytics, which can facilitate and/or provide insights on the practices, challenges, and solutions of data-based business problem-solving. We welcome studies taking various quantitative methods, such as algorithm, econometrics, analytical modeling, simulation, etc.
WORKSHOP AREAS
Topics of interest include but not limited to:
1. Mechanism of user generated content
2. Information dissemination mechanism in mobile and social contexts
3. Impact of big data technologies and applications
4. Consumer preference extraction in big data contexts
5. Data-driven consumer behavior modeling and marketing
6. Big data-based process analytics
7. Large-scale recommender system
8. Sentiment analysis and opinion mining
9. Big data analytics in business applications
10. Big data and business model innovation
11. Implications of big data in strategy management
PAPER SUBMISSION
We invite submission of unpublished original research papers that are not under review elsewhere. All submissions should be in English and must be prepared in the IEEE camera-ready format. The papers should be in PDF format and submitted via the IEEE DSC site (www.ieee-dsc.org/). All accepted papers will appear in the proceedings of the IEEE DSC2016 conference. If accepted, at least one of the authors must attend the workshop to present the work.
IMPORTANT DATES
Full paper due: March 5, 2016
Acceptance notification: April 15, 2016
Camera-ready copy: April 23, 2016
Conference Date: June 13, 2016
ORGANIZATION
General Chair
Program Chair
Program Committee
Yifan Dou, Fudan University, China
Ziqiong Zhang, Harbin Institute of Technology, China
Wei Geng, Southwest Jiaotong University, China
Yuanchun Jiang, Hefei University of Technology, China
Lei Li, Hefei University of Technology, China
Jianshan Sun, Hefei University of Technology, China
CONTACT US
sunjs9413@hfut.edu.cn