Scope
We are entering a transformative era of Intelligent Data Analytics, where the traditional three Vs of Big Data—volume, velocity, and variety—are now augmented by three new dimensions: multimodal integration, generative intelligence, and real-time decision-making. Big Data and Business Analytics today encompass more than just the examination of large datasets to identify patterns, correlations, and trends. It now includes the use of large language models (LLMs) and generative AI to create synthetic data, predict market dynamics, and personalize customer experiences at scale. These advancements are driving more effective marketing strategies, uncovering new revenue streams, enhancing customer service, and improving operational efficiency, all while maintaining a competitive edge in an increasingly data-driven world.
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:
- Mechanism of user generated content
- Information dissemination mechanism in mobile and social contexts
- Impact of generative AI and LLMs
- 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
- Healthcare Analytics
- Anomaly Detection
- Applications of LLM in business
PAPER SUBMISSION
All submissions should be written in English and submitted via our submission system. A paper submitted to BDBA 2025 cannot be under review for any other conference or journal during the entire period that it is considered for BDBA 2025, 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 2025, please feel free to contact Dr. Kun Yuan: yuankun@hfut.edu.cn.
IMPORTANT DATES
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
