Overview
- Discusses recent issues in management science and engineering management
- Gathers the proceedings of the 13th International Conference on Management Science and Engineering Management (ICMSEM 2019), which was held in Ontario, Canada on August 5–8, 2019
- Presents the latest research directions in management science and engineering management
Part of the book series: Advances in Intelligent Systems and Computing (AISC, volume 1001)
Included in the following conference series:
Conference proceedings info: ICMSEM 2019.
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About this book
This book gathers the proceedings of the 13th International Conference on Management Science and Engineering Management (ICMSEM 2019), which was held at Brock University, Ontario, Canada on August 5–8, 2019. Exploring the latest ideas and pioneering research achievements in management science and engineering management, the respective contributions highlight both theoretical and practical studies on management science and computing methodologies, and present advanced management concepts and computing technologies for decision-making problems involving large, uncertain and unstructured data. Accordingly, the proceedings offer researchers and practitioners in related fields an essential update, as well as a source of new research directions.
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Keywords
Table of contents (61 papers)
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Data Analysis and Mining
Other volumes
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Proceedings of the Thirteenth International Conference on Management Science and Engineering Management
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Proceedings of the Thirteenth International Conference on Management Science and Engineering Management
Editors and Affiliations
Bibliographic Information
Book Title: Proceedings of the Thirteenth International Conference on Management Science and Engineering Management
Book Subtitle: Volume 1
Editors: Jiuping Xu, Syed Ejaz Ahmed, Fang Lee Cooke, Gheorghe Duca
Series Title: Advances in Intelligent Systems and Computing
DOI: https://doi.org/10.1007/978-3-030-21248-3
Publisher: Springer Cham
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: Springer Nature Switzerland AG 2020
Softcover ISBN: 978-3-030-21247-6Published: 20 June 2019
eBook ISBN: 978-3-030-21248-3Published: 19 June 2019
Series ISSN: 2194-5357
Series E-ISSN: 2194-5365
Edition Number: 1
Number of Pages: XVI, 825
Number of Illustrations: 107 b/w illustrations, 141 illustrations in colour
Topics: Computational Intelligence, Artificial Intelligence, Innovation/Technology Management