Please use this identifier to cite or link to this item:
https://doi.org/10.21256/zhaw-18038
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Weiler, Andreas | - |
dc.contributor.author | Schilling, Harry | - |
dc.contributor.author | Kircher, Lukas | - |
dc.contributor.author | Grossniklaus, Michael | - |
dc.date.accessioned | 2019-08-29T14:01:05Z | - |
dc.date.available | 2019-08-29T14:01:05Z | - |
dc.date.issued | 2019 | - |
dc.identifier.isbn | 978-1-7281-3105-4 | de_CH |
dc.identifier.uri | https://digitalcollection.zhaw.ch/handle/11475/18038 | - |
dc.description | © 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. | de_CH |
dc.language.iso | en | de_CH |
dc.publisher | IEEE | de_CH |
dc.rights | Licence according to publishing contract | de_CH |
dc.subject.ddc | 004: Informatik | de_CH |
dc.title | Towards reproducible research of event detection techniques for Twitter | de_CH |
dc.type | Konferenz: Paper | de_CH |
dcterms.type | Text | de_CH |
zhaw.departement | School of Engineering | de_CH |
zhaw.organisationalunit | Institut für Informatik (InIT) | de_CH |
dc.identifier.doi | 10.1109/SDS.2019.000-5 | de_CH |
dc.identifier.doi | 10.21256/zhaw-18038 | - |
zhaw.conference.details | 6th Swiss Conference on Data Science (SDS), Bern, 14. Juni 2019 | de_CH |
zhaw.funding.eu | No | de_CH |
zhaw.originated.zhaw | Yes | de_CH |
zhaw.pages.end | 74 | de_CH |
zhaw.pages.start | 69 | de_CH |
zhaw.publication.status | acceptedVersion | de_CH |
zhaw.publication.review | Peer review (Publikation) | de_CH |
zhaw.title.proceedings | 2019 6th Swiss Conference on Data Science (SDS) | de_CH |
zhaw.webfeed | Information Engineering | de_CH |
zhaw.author.additional | No | de_CH |
Appears in collections: | Publikationen School of Engineering |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
2019_Weiler_Towards Reproducible Research of Event Detection Techniques for Twitter_IEEE Proceedings.pdf | Accepted Version | 549.86 kB | Adobe PDF | View/Open |
Show simple item record
Weiler, A., Schilling, H., Kircher, L., & Grossniklaus, M. (2019). Towards reproducible research of event detection techniques for Twitter [Conference paper]. 2019 6th Swiss Conference on Data Science (SDS), 69–74. https://doi.org/10.1109/SDS.2019.000-5
Weiler, A. et al. (2019) ‘Towards reproducible research of event detection techniques for Twitter’, in 2019 6th Swiss Conference on Data Science (SDS). IEEE, pp. 69–74. Available at: https://doi.org/10.1109/SDS.2019.000-5.
A. Weiler, H. Schilling, L. Kircher, and M. Grossniklaus, “Towards reproducible research of event detection techniques for Twitter,” in 2019 6th Swiss Conference on Data Science (SDS), 2019, pp. 69–74. doi: 10.1109/SDS.2019.000-5.
WEILER, Andreas, Harry SCHILLING, Lukas KIRCHER und Michael GROSSNIKLAUS, 2019. Towards reproducible research of event detection techniques for Twitter. In: 2019 6th Swiss Conference on Data Science (SDS). Conference paper. IEEE. 2019. S. 69–74. ISBN 978-1-7281-3105-4
Weiler, Andreas, Harry Schilling, Lukas Kircher, and Michael Grossniklaus. 2019. “Towards Reproducible Research of Event Detection Techniques for Twitter.” Conference paper. In 2019 6th Swiss Conference on Data Science (SDS), 69–74. IEEE. https://doi.org/10.1109/SDS.2019.000-5.
Weiler, Andreas, et al. “Towards Reproducible Research of Event Detection Techniques for Twitter.” 2019 6th Swiss Conference on Data Science (SDS), IEEE, 2019, pp. 69–74, https://doi.org/10.1109/SDS.2019.000-5.
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