Recent Developments in Data Science and Business Analytics - Proceedings of the International Conference on Data Science and Business Analytics (ICDSBA- 2017) (Hardcover, 1st ed. 2018)

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.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Series:	Springer Proceedings in Business and Economics
Release date:	April 2018
First published:	2018
Editors:	Madjid Tavana • Srikanta Patnaik
Dimensions:	235 x 155mm (L x W)
Format:	Hardcover
Pages:	505
Edition:	1st ed. 2018
ISBN-13:	978-3-319-72744-8
Categories:	Books > Business & Economics > Business & management > Management & management techniques > Operational research Books > Business & Economics > Business & management > Business mathematics & systems > General Promotions
LSN:	3-319-72744-3
Barcode:	9783319727448

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