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
Topic 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
12.Healthcare Analytics
13.Anomaly Detection
PAPER SUBMISSION
All submissions should be written in English and submitted via our submission system: https://cmt3.research.microsoft.com/BDBA2021 If you have any question on BDBA 2021, please feel free to contact Dr. Kun Yuan: yuankun@hfut.edu.cn
IMPORTANT DATES
Acceptance notification:
Camera-ready copy:
Conference Date: October 9-11, 2021
ORGANIZATION
Workshop General Chairs
Yuanchun Jiang, Hefei University of Technology, China
Jianshan Sun, Hefei University of Technology, China
Program Committee
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, University of Electronic Science and Technology of China, China
Chao Fu, Hefei University of Technology, China
Xiayu Chen, Hefei University of Technology, China
Chunli Liu, Hefei University of Technology, China
Yidong Chai, Hefei University of Technology, China
Yang Qian, Hefei University of Technology, China
Kun Yuan, Hefei University of Technology, China
