BDAFC

International Workshop on Big Data Analytics in Finance and Commerce

In conjunction with the IEEE International Conference on Data Engineering 2023

April 3-7, 2023 in Anaheim, California, USA

BDAFC 2023

The 1st International Workshop on Big Data Analytics in Finance and Commerce

With the explosive growth of e-business, it has become increasingly difficult to efficiently index, retrieve, and manage a wide range of business and financial data (structured and unstructured) on the internet. It is imperative to develop new and efficient analytical techniques that can be easily applied to big data in finance and commerce to achieve promising performance in downstream applications. As a result, fintech has been continuously improving customer experience over the past few years since they understand their clients' behavioral traits and expectations. The application of data-driven technologies assists financial organizations in solving their day-to-day problems. The mix of algorithms, technologies, fintech analytics, and visualization allows companies to keep an eye on trends and quickly react to changes. The 1st International Workshop on Big Data Analytics in Finance and Commerce (BDAFC 2023) aims to provide a forum for researchers from academia and industry to exchange ideas, techniques, and application scenarios in financial data analytics, as well as discuss open challenges and identify new research directions in the area.

The workshop will interest researchers in developing financial and commercial data analytics techniques in various application domains. The intended audiences include researchers from academia and industry interested in exploiting the value of data science and data-driven technologies in finance.

Research Interest

Topics of interest include but are not limited to:

  • Query Processing and Indexing for business data
  • Data-driven technologies and methods in corporate finance, asset pricing, and investment research
  • Analytics of big data (e.g., alternative, unstructured, or high-dimensional data)
  • Big data applications in novel topics such as climate finance
  • Blockchain technology, smart contracts, and digital currencies
  • Data science for fraud prevention, risk analysis, credit allocation
  • Data analytics for customer behavior analysis
  • Digital economy and Internet finance
  • Crowdfunding analysis with Big Data
  • Data-driven Know-Your-Customer (KYC) approach
  • Applications or Systems for FinTech with data-driven methods

Submission

The proceedings of the workshops will be published jointly with the conference proceedings and all papers must be formatted following the IEEE ICDE 2023 submission guidelines available at the conference webpage. We welcome research papers (full or short), vision papers, demo papers and industry papers showcasing graph analytics in real applications.

The workshop will accept both regular papers (8 pages) and short papers (4 pages - work in progress, vision/outrageous ideas).

Submission Website: https://cmt3.research.microsoft.com/ICDE2023/

Track: The 1st International Workshop on Big Data Analytics in Finance and Commerce

PC Chairs

  • Prof. H V Jagadish, University of Michigan
  • Prof. Yanyan Shen, Shanghai Jiao Tong University
  • Dr. Chen Zhang, Jason, The Hong Kong Polytechnic University
  • Dr. Jingren Zhou, Alibaba Group

Committee Members

  • Prof. Ilaria Bartolini, University of Bologna
  • Dr. Di Jiang, WeBank Co., Ltd.
  • Prof. Baochun Li, University of Toronto
  • Prof. Qing Li, The Hong Kong Polytechnic University
  • Prof. M. Tamer Özsu, University of Waterloo
  • Prof. Chen Yi, Martin Tuchman School of Management, New Jersey Institute of Technology
  • Prof. Jeffrey Yu, The Chinese University of Hong Kong
  • Prof. Wenjie Zhang, The University of New South Wales
  • Prof. Feida Zhu, Business School, Singapore Management University

Schedule

9:00 am - 9:10 am Welcome and opening remarks
9:10 am - 10:10 am Keynote speech on "FinTech: Finance and Technology's Pas de deux" by Prof. Guiling "Grace" Wang
10:10 am - 10:30 am Coffee break
10:30 am - 10:50 am "High-dimensional Data from Financial Statements for a Bankruptcy Prediction Model" by Flavio Bertini, Gianluca Gabrielli, and Andrea Melioli (20 min presentation and Q&A)
10:50 am - 11:10 am "Approximate Indexing for Top-$k$ Queries over Massive Spatio-textual Data Streams" by Hangjia Cen, Xike Xie, Xin Cao, and Jiali Weng (20 min presentation and Q&A)
11:10 am - 11:30 am "InvestLens: A Visual Analytics Approach to Inspecting the Dynamics of Venture Capital Investment Network" by Yun Tian, Jia Liu, Xinyi Zhang, Xingsheng Yang, Zhaoru Ke, Ling Liao, Suting Hong, Haipeng Zhang, and Quan Li (20 min presentation and Q&A)
11:30 am - 11:50 am "S&P500 Index Prediction with Time-Series Mixer" by Junyi Ye, Jingyi Gu, Ankan Dash, Fadi Deek, and Guiling Wang (20 min presentation and Q&A)
11:50 am - 12:10 pm "Real-time Personalized Guest Experiences using Product Attribute Information on Vanilla Hardware" by Amit Pande, Rahul Biswas, Pushkar Chennu, Harshith Narasimhamurthy, and Anupama Joshi (20 min presentation and Q&A)
12:10 pm - 12:30 pm "HODL: The Hold of Reddit Over the Stock Market" by A M Muntasir Rahman, Ajim Uddin, and Guiling Wang (20 min presentation and Q&A)
12:30 pm - 12:40 pm Panel discussion and closing remarks

Important Dates

Paper Submission Deadline:
Jan 12th, 2023

Paper Notification Deadline:
Feb 28th, 2023

Camera Ready Deadline:
Mar 15th, 2023

Technical Support for Slides and Presentation

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