The field of data science and business analytics is emerging at the intersection of the fields of mathematics, statistics, operations research, information systems, computer science and engineering. Data science and business analytics is an interdisciplinary field about processes and systems to extract knowledge or insights from data. Data science and business analytics employ techniques and theories drawn from many fields including signal processing, probability models, machine learning, statistical learning, data mining, database, data engineering, pattern recognition, visualization, descriptive analytics, predictive analytics, prescriptive analytics, uncertainty modeling, big data, data warehousing, data compression, computer programming, artificial intelligence, business intelligence, simulation, computational intelligence, and high performance computing among others.
Proceeding
All papers accepted for presentation at the conference will appear in the ICDSBA 2017 Proceedings published by Springer.
Collaborating journals
International Journal of Applied Decision Sciences
International Journal of Management and Decision Making
International Journal of Information and Communication Technology
International Journal of Computational Vision and Robotics
International Journal of Knowledge Engineering and Data Mining
International Journal of Enterprise Information Systems
International Journal of Strategic Decision Sciences
