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DSBFI 2019 : ISSAT International Conference on Data Science in Business, Finance and Industry | |||||||||||||||
Link: https://www.issatconferences.org/dsbfi2019.html | |||||||||||||||
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Call For Papers | |||||||||||||||
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 |
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