This edited volume is brought out from the contributions of the
research papers presented in the International Conference on Data
Science and Business Analytics (ICDSBA- 2017), which was held
during September 23-25 2017 in ChangSha, China. As we all know, 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, business
intelligence, computational intelligence, and high performance
computing among others. The volume contains 55 contributions from
diverse areas of Data Science and Business Analytics, which has
been categorized into five sections, namely: i) Marketing and
Supply Chain Analytics; ii) Logistics and Operations Analytics;
iii) Financial Analytics. iv) Predictive Modeling and Data
Analytics; v) Communications and Information Systems Analytics. The
readers shall not only receive the theoretical knowledge about this
upcoming area but also cutting edge applications of this domains.
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