Please use this identifier to cite or link to this item:
https://doi.org/10.21256/zhaw-3177| Publication type: | Book part |
| Type of review: | Editorial review |
| Title: | Introduction to applied data science |
| Authors: | Stadelmann, Thilo Braschler, Martin Stockinger, Kurt |
| et. al: | No |
| DOI: | 10.21256/zhaw-3177 10.1007/978-3-030-11821-1_1 |
| Published in: | Applied data science : lessons learned for the data-driven business |
| Editors of the parent work: | Braschler, Martin Stadelmann, Thilo Stockinger, Kurt |
| Pages: | 3 |
| Pages to: | 16 |
| Issue Date: | 14-Jun-2019 |
| Publisher / Ed. Institution: | Springer |
| Publisher / Ed. Institution: | Cham |
| ISBN: | 978-3-030-11821-1 978-3-030-11820-4 |
| Language: | English |
| Subjects: | Data science; Definition; Big data; Mega trend; Interdisciplinarity |
| Subject (DDC): | 005: Computer programming, programs and data |
| URI: | https://digitalcollection.zhaw.ch/handle/11475/17428 |
| Fulltext version: | Published version |
| License (according to publishing contract): | Licence according to publishing contract |
| Departement: | School of Engineering |
| Organisational Unit: | Centre for Artificial Intelligence (CAI) Institute of Applied Information Technology (InIT) |
| Appears in collections: | Publikationen School of Engineering |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| ADS_2019_Introduction.pdf | preprint | 723.21 kB | Adobe PDF |  View/Open |
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