Overview
- Contains a wealth of case studies and new techniques for a quick understanding of advanced analytics and its applications in the business scenario
- Comprises of seven diverse themes to ensure a broad coverage of applications
- Bridges the gap between academic research and practical aspects of analytics with chapters on data streams, binary prediction, reliability shock models, artificial intelligence applications, credit risk analytics, analytics and machine learning among others
Part of the book series: Springer Proceedings in Business and Economics (SPBE)
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Bibliographic Information
Book Title: Applied Advanced Analytics
Book Subtitle: 6th IIMA International Conference on Advanced Data Analysis, Business Analytics and Intelligence
Editors: Arnab Kumar Laha
Series Title: Springer Proceedings in Business and Economics
DOI: https://doi.org/10.1007/978-981-33-6656-5
Publisher: Springer Singapore
eBook Packages: Business and Management, Business and Management (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2021
Hardcover ISBN: 978-981-33-6655-8Published: 09 June 2021
Softcover ISBN: 978-981-33-6658-9Published: 10 June 2022
eBook ISBN: 978-981-33-6656-5Published: 08 June 2021
Series ISSN: 2198-7246
Series E-ISSN: 2198-7254
Edition Number: 1
Number of Pages: IX, 234
Number of Illustrations: 19 b/w illustrations, 39 illustrations in colour
Topics: Operations Research/Decision Theory, Computer Science, general, IT in Business, Business Finance, Management, Applied Statistics