Overview
- Includes valuable case studies in the field of operations research
- Addresses current topics relevant to Big Data analysis
- Carefully integrates the scientific level and a didactic approach
- Includes supplementary material: sn.pub/extras
Part of the book series: Studies in Big Data (SBD, volume 15)
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Table of contents (29 chapters)
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Front Matter
Keywords
About this book
The development of Operations Research (OR) requires constant improvements, such as the integration of research results with business applications and innovative educational practice. The full deployment and commercial exploitation of goods and services generally need the construction of strong synergies between educational institutions and businesses.
The IO2015 -XVII Congress of APDIO aims at strengthening the knowledge triangle in education, research and innovation, in order to maximize the contribution of OR for sustainable growth, the promoting of a knowledge-based economy, and the smart use of finite resources.
The IO2015-XVII Congress of APDIO is a privileged meeting point for the promotion and dissemination of OR and related disciplines, through the exchange of ideas among teachers, researchers, students , and professionals with different background, but all sharing a common desire that is the development of OR.
Editors and Affiliations
Bibliographic Information
Book Title: Operations Research and Big Data
Book Subtitle: IO2015-XVII Congress of Portuguese Association of Operational Research (APDIO)
Editors: Ana Paula Ferreira Dias Barbosa Póvoa, Joao Luis de Miranda
Series Title: Studies in Big Data
DOI: https://doi.org/10.1007/978-3-319-24154-8
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer International Publishing Switzerland 2015
Hardcover ISBN: 978-3-319-24152-4Published: 14 October 2015
Softcover ISBN: 978-3-319-37346-1Published: 23 August 2016
eBook ISBN: 978-3-319-24154-8Published: 11 September 2015
Series ISSN: 2197-6503
Series E-ISSN: 2197-6511
Edition Number: 1
Number of Pages: IX, 256
Topics: Computational Intelligence, Operations Research, Management Science, Operations Management, Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences, Data Mining and Knowledge Discovery