Please use this identifier to cite or link to this item:
https://doi.org/10.21256/zhaw-3177
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DC Field | Value | Language |
---|---|---|
dc.contributor.author | Stadelmann, Thilo | - |
dc.contributor.author | Braschler, Martin | - |
dc.contributor.author | Stockinger, Kurt | - |
dc.date.accessioned | 2019-07-04T12:54:30Z | - |
dc.date.available | 2019-07-04T12:54:30Z | - |
dc.date.issued | 2019-06-14 | - |
dc.identifier.isbn | 978-3-030-11821-1 | de_CH |
dc.identifier.isbn | 978-3-030-11820-4 | de_CH |
dc.identifier.uri | https://digitalcollection.zhaw.ch/handle/11475/17428 | - |
dc.language.iso | en | de_CH |
dc.publisher | Springer | de_CH |
dc.relation.ispartof | Applied data science : lessons learned for the data-driven business | de_CH |
dc.rights | Licence according to publishing contract | de_CH |
dc.subject | Data science | de_CH |
dc.subject | Definition | de_CH |
dc.subject | Big data | de_CH |
dc.subject | Mega trend | de_CH |
dc.subject | Interdisciplinarity | de_CH |
dc.subject.ddc | 005: Computerprogrammierung, Programme und Daten | de_CH |
dc.title | Introduction to applied data science | de_CH |
dc.type | Buchbeitrag | de_CH |
dcterms.type | Text | de_CH |
zhaw.departement | School of Engineering | de_CH |
zhaw.organisationalunit | Institut für Informatik (InIT) | de_CH |
zhaw.publisher.place | Cham | de_CH |
dc.identifier.doi | 10.1007/978-3-030-11821-1_1 | de_CH |
dc.identifier.doi | 10.21256/zhaw-3177 | - |
zhaw.funding.eu | No | de_CH |
zhaw.originated.zhaw | Yes | de_CH |
zhaw.pages.end | 16 | de_CH |
zhaw.pages.start | 3 | de_CH |
zhaw.parentwork.editor | Braschler, Martin | - |
zhaw.parentwork.editor | Stadelmann, Thilo | - |
zhaw.parentwork.editor | Stockinger, Kurt | - |
zhaw.publication.status | submittedVersion | de_CH |
zhaw.publication.review | Editorial review | de_CH |
zhaw.webfeed | Datalab | de_CH |
zhaw.webfeed | Information Engineering | de_CH |
zhaw.webfeed | ZHAW digital | de_CH |
zhaw.webfeed | Machine Perception and Cognition | de_CH |
zhaw.author.additional | No | de_CH |
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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Stadelmann, T., Braschler, M., & Stockinger, K. (2019). Introduction to applied data science. In M. Braschler, T. Stadelmann, & K. Stockinger (Eds.), Applied data science : lessons learned for the data-driven business (pp. 3–16). Springer. https://doi.org/10.1007/978-3-030-11821-1_1
Stadelmann, T., Braschler, M. and Stockinger, K. (2019) ‘Introduction to applied data science’, in M. Braschler, T. Stadelmann, and K. Stockinger (eds) Applied data science : lessons learned for the data-driven business. Cham: Springer, pp. 3–16. Available at: https://doi.org/10.1007/978-3-030-11821-1_1.
T. Stadelmann, M. Braschler, and K. Stockinger, “Introduction to applied data science,” in Applied data science : lessons learned for the data-driven business, M. Braschler, T. Stadelmann, and K. Stockinger, Eds. Cham: Springer, 2019, pp. 3–16. doi: 10.1007/978-3-030-11821-1_1.
STADELMANN, Thilo, Martin BRASCHLER und Kurt STOCKINGER, 2019. Introduction to applied data science. In: Martin BRASCHLER, Thilo STADELMANN und Kurt STOCKINGER (Hrsg.), Applied data science : lessons learned for the data-driven business. Cham: Springer. S. 3–16. ISBN 978-3-030-11821-1
Stadelmann, Thilo, Martin Braschler, and Kurt Stockinger. 2019. “Introduction to Applied Data Science.” In Applied Data Science : Lessons Learned for the Data-Driven Business, edited by Martin Braschler, Thilo Stadelmann, and Kurt Stockinger, 3–16. Cham: Springer. https://doi.org/10.1007/978-3-030-11821-1_1.
Stadelmann, Thilo, et al. “Introduction to Applied Data Science.” Applied Data Science : Lessons Learned for the Data-Driven Business, edited by Martin Braschler et al., Springer, 2019, pp. 3–16, https://doi.org/10.1007/978-3-030-11821-1_1.
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