Big Data and Business Analytics (BDBA 2024)

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
  14.  Big language model and applications


PAPER SUBMISSION

All submissions should be written in English and submitted via our submission system. A paper submitted to BDBA 2024 cannot be under review for any other conference or journal during the entire period that it is considered for BDBA 2024, and must be substantially different from any previously published work. Submissions are reviewed in a single-blind manner. Please note that all submissions must strictly adhere to the IEEE templates as provided below. The templates also act as a guideline regarding formatting. In particular, all submissions must use either the LATEX template or the MS-Word template. Please follow exactly the instructions below to ensure that your submission can ultimately be included in the proceedings. If you have any question on BDBA 2024, please feel free to contact Dr. Kun Yuan: yuankun@hfut.edu.cn.


IMPORTANT DATES

Full paper due: May 16, 2024  June 10, 2024 (Firm)
Acceptance notification: July 1, 2024
Camera-ready copy: August 1, 2024
Conference Date: August 23-26, 2024

ORGANIZATION

WORKSHOP GENERAL CHAIRS

Yezheng Liu Hefei University of Technology, China
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, 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



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