Aims and Scope

The ISSAT International Conference on Data Science in Business, Finance and Industry (DSBFI 2019) conference 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.


The conference is organized and sponsored by
International Society of Science and Applied Technologies (ISSAT)

In cooperation with
Dong A University, Vietnam


Conference Chairs
Hoang Pham, FIEEE, Rutgers University, USA
Thong Quoc Nguyen, Dong A University, Vietnam / Université Bretagne Sud, France

Program Chairs
Cedric Heuchenne, University of Liege, Belgium
Phuc Kim Tran, ENSAIT & GEMTEX, France

Arrangements Chairs
Sean Watts, Dong A University, Vietnam
Tuan Van Do, Dong A University, Vietnam


Topics of Interest
Advanced Statistical Methods in Data Science
Algorithms, Models and Theory of Data Mining
Machine Learning and Statistical Methods for Data Mining
Predictive Modeling and Analytics
Machine Learning in Business, Finance and Industry
Data Virtualization and Quality
Data Mining Applications in Healthcare, Finance and Industry
Application of Big Data in Industry
Conversational Recommender Systems
Quantitative Modeling in Big Data
Data Warehouse for Business Intelligence
Computer Vision - Algorithms and Applications
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 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


Paper Submissions

Authors are invited to submit full manuscripts by February 5, 2019 to Conference Secretary at dsbfi@issatconferences.org. Papers must be original and have not been published or submitted for publication elsewhere. All submitted papers will be reviewed for merit and contents.


Contact
Email: dsbfi@issatconferences.org