Record link: 
http://hdl.handle.net/20.500.12708/57164
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Title: 
μTOP: Spatio-Temporal Detection and Summarization of Locally Trending Topics in Microblog Posts
en
Citation: 
Mehta, P., Kotlarski, M., Skoutas, D., Sacharidis, D., Patroumpas, K., & Voisard, A. (2017). μTOP: Spatio-Temporal Detection and Summarization of Locally Trending Topics in Microblog Posts. In V. Markl, S. Orlando, P. Andritsos, K.-U. Sattler, & S. Breß (Eds.), International Conference on Extending Database Technology (EDBT ’17), March 21-24, 2017 (pp. 558–561). OpenProceedings.org. https://doi.org/10.5441/002/edbt.2017.69
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Publisher DOI: 
10.5441/002/edbt.2017.69
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Publication Type: 
Inproceedings - Poster Contribution
en
Language: 
English
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Authors: 
Mehta, Paras 
Kotlarski, Manuel 
Skoutas, Dimitrios 
Sacharidis, Dimitrios 
Patroumpas, Kostas 
Voisard, Agnès 
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Organisational Unit: 
E194-04 - Forschungsbereich E-Commerce 
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Published in: 
International Conference on Extending Database Technology (EDBT '17), March 21-24, 2017 
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ISBN: 
978-3-89318-073-8
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Date (published): 
2017
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Event name: 
International Conference on Extending Database Technology (EDBT '17) 
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Event date: 
21-Mar-2017 - 24-Mar-2017
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Event place: 
Venice, Italy, EU
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Number of Pages: 
4
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Publisher: 
OpenProceedings.org
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Peer reviewed: 
Yes
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Research Areas: 
Business Informatics: 100%
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Science Branch: 
Informatik
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Appears in Collections:
Conference Paper

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