Scope:
We are entering the era of Big Data, which is characterized by the three Vs: volume, velocity, and variety. 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 examining 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:
- Mechanism of user generated content
- Information dissemination mechanism in mobile and social contexts
- Impact of big data technologies and applications
- Consumer preference extraction in big data contexts
- Data-driven consumer behavior modeling and marketing
- Big data-based process analytics
- Large-scale recommender system
- Sentiment analysis and opinion mining
- Big data analytics in business applications
- Big data and business model innovation
- Implications of big data in strategy management
Important Dates:
- Full paper due: May 17, 2020
- Acceptance notification: June 23, 2020
- Camera-ready copy: July 5, 2020
- Conference: July 27-29, 2020
Submission:
All submissions should be written in English and submitted via our submission system:
https://cmt3.research.microsoft.com/DSCBDBA2020
If you have any question on BDBA 2020, please feel free to contact Dr. Jianshan Sun:
sunjs9413@hfut.edu.cn
Organization:
General Chair:
Yezheng Liu, Hefei University of Technology, China
Program Chairs:
Yuanchun Jiang, Hefei University of Technology, China
Jianshan Sun, Hefei University of Technology, China
Program Committee:
Keming Yu, Brunel University, UK
Jennifer Shang, University of Pittsburgh, USA
Qiang Wei, Tsinghua University, China
Yifan Dou, Fudan University, China
Ziqiong Zhang, Harbin Institute of Technology, China
Wei Geng, Southwest Jiaotong University, China
Wei Xu, Renmin University of China, China
Xusen Cheng, Renmin University of China, China
Yiwen Zhang, Anhui University, China
Baojun Ma, Shanghai International Studies University, China
Yin Zhang, Zhongnan University of Economics and Law, China
Chao Fu, Hefei University of Technology, China
Xiayu Chen, Hefei University of Technology, China
Chunli Liu, Hefei University of Technology, China
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