Aims and Scope
  	
The Second ISSAT International Conference on Data Science in Business, Finance and Industry (DSBFI 2020) 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.

Topics of Interest

  	Topics of interest for submission include, but are not limited to:

    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

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