Overview
- Presents the latest research on Data Science in Practice
- Especially focuses on the applications of Data Science and Big Data
- Written by respected experts in the field
Part of the book series: Studies in Big Data (SBD, volume 46)
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Keywords
Table of contents (10 chapters)
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Concepts
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Application Domains
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Tools
Editors and Affiliations
Bibliographic Information
Book Title: Data Science in Practice
Editors: Alan Said, Vicenç Torra
Series Title: Studies in Big Data
DOI: https://doi.org/10.1007/978-3-319-97556-6
Publisher: Springer Cham
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: Springer Nature Switzerland AG 2019
Hardcover ISBN: 978-3-319-97555-9Published: 27 September 2018
Softcover ISBN: 978-3-030-07374-9Published: 28 December 2018
eBook ISBN: 978-3-319-97556-6Published: 19 September 2018
Series ISSN: 2197-6503
Series E-ISSN: 2197-6511
Edition Number: 1
Number of Pages: VIII, 195
Number of Illustrations: 28 b/w illustrations, 15 illustrations in colour
Topics: Computational Intelligence, Big Data/Analytics, Artificial Intelligence, Data Mining and Knowledge Discovery