Overview
- Presents cutting-edge research on working with "big data"
- Includes reports from the practical application and validation of the EU Dicode project's services in real-world use cases
- Describes an innovative approach bringing together the reasoning capabilities of both the machine and humans
- Explains lessons learnt from developing data mining and collaboration & decision-making support services
- Includes supplementary material: sn.pub/extras
Part of the book series: Studies in Big Data (SBD, volume 5)
Access this book
Tax calculation will be finalised at checkout
Other ways to access
Table of contents (11 chapters)
Keywords
About this book
Editors and Affiliations
About the editor
Bibliographic Information
Book Title: Mastering Data-Intensive Collaboration and Decision Making
Book Subtitle: Research and practical applications in the Dicode project
Editors: Nikos Karacapilidis
Series Title: Studies in Big Data
DOI: https://doi.org/10.1007/978-3-319-02612-1
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer International Publishing Switzerland 2014
Hardcover ISBN: 978-3-319-02611-4Published: 17 April 2014
Softcover ISBN: 978-3-319-34996-1Published: 03 September 2016
eBook ISBN: 978-3-319-02612-1Published: 05 April 2014
Series ISSN: 2197-6503
Series E-ISSN: 2197-6511
Edition Number: 1
Number of Pages: X, 226
Number of Illustrations: 98 b/w illustrations
Topics: Computational Intelligence, Data Mining and Knowledge Discovery, Operations Research/Decision Theory, Information Systems and Communication Service, Engineering Economics, Organization, Logistics, Marketing