The conference is organized and sponsored by

     International Society of Science and Applied Technologies (ISSAT)

        Dong A University, Vietnam 

The Data Science in Business, Finance and Industry (DSBFI) provides an international forum for presentation of new results as well as exchanges and disseminates innovative and practical development experiences. The conference covers all aspects of data science in business, finance and industry including algorithms, modeling and applications. Large amount of data created by various mobile platforms, social media interactions, e-commerce transactions, and IoT provide an opportunity for business, finance and industry to improve the quality of their products and services by effective use of data science. DSBFI draws researchers, application developers, and practitioners from a wide range of data science related areas such as statistics, business analytics, computer science, engineering, and applied science. By promoting novel, high-quality research findings and innovative solutions to challenging data science problems, the conference seeks to advance the state-of-the-art in data science.

Authors are invited to submit full manuscripts or extended abstracts (at least 2 pages) in PDF or MS Word format by October 15, 2022 to the Conference Secretary at dsbfi@issatconferences.org. Please include the full name, title, affiliation and email address of the Correspondent Author in your submission.

Papers must be original and have not been published or submitted for publication elsewhere. All submitted papers/extended abstracts will be reviewed for merit and contents. 

Author of an accepted paper/extended abstract will need to register and pay full conference registration fee for the paper to be published in the conference proceedings.

Guidelines for paper submission.

• Advanced Statistical Methods in Data Science
• Algorithms, Models and Theory of Deep Learning
• Machine Learning and Statistical Methods for Data Mining
• Predictive Modeling and Analytics in Business, Finance and Industry
• Data Mining Applications in Healthcare, Finance and Industry
• Recommender Systems in Data Science
• Quantitative Modeling in Big Data
• Data Warehouse for Business Intelligence
• Artificial Intelligence (AI) and Autonomous Machines
• Big Data Mining and Analytics
• Statistical Techniques and Tools for Data Science
• Healthcare Systems and Management
• Information and Data Processing in Business
• Spatial Data Analysis
• Search and Knowledge Discovery
• Data Intelligence, Security and Privacy
• Cyber Resilience and Security
• Security, Trust and Risk in Big Data
• Mobile Systems and Development for Handheld Devices
• Business and Operation Analytics
• Service Innovation and Management
• Supply Chain Management Systems Modeling and Simulation
• Technology and Knowledge Management
• Applications of data science in business, finance, social sciences, physical sciences, life sciences, web, marketing, precision medicine, education, health informatics, and industry

Two outstanding papers presented at the conference will be chosen for the Conference Best Paper and Best Student Paper Awards. Student must be first author and presenter at the conference to quality.

Accepted papers will be published in the Conference Proceedings. Outstanding papers will be invited for consideration for publication in:

• Annals of Operations Research Special Issue: Reliability and Statistical Computing
• Annals of Operations Research Special Issue: Big Data Modeling and Applications
• International Journal of Reliability, Quality and Safety Engineering (IJRQSE)
• An edited book by Springer

Authors of selected papers will be notified and provided with more details by the journal editor(s).