Big Spatial and Spatio-Temporal Data Analytics Systems-Reference-Cited by-同舟云学术

Big Spatial and Spatio-Temporal Data Analytics Systems

Published:2021 Issue: Volume: Page:155-180
ISSN:0302-9743
Container-title:Transactions on Large-Scale Data- and Knowledge-Centered Systems XLVII
language:
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Author:

Velentzas Polychronis,Corral Antonio,Vassilakopoulos Michael

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-662-62919-2_7

Reference43 articles.

1. Aji, A., Wang, F., Vo, H., Lee, R., Liu, Q., Zhang, X., Saltz, J.H.: Hadoop-GIS: a high performance spatial data warehousing system over MapReduce. PVLDB 6(11), 1009–1020 (2013)

2. Alarabi, L., Eldawy, A., Alghamdi, R., Mokbel, M.F.: TAREEG: a MapReduce-based web service for extracting spatial data from OpenStreetMap. In: SIGMOD Conference, pp. 897–900 (2014)

3. Alarabi, L., Mokbel, M.F.: A demonstration of ST-hadoop: a MapReduce framework for big spatio-temporal data. PVLDB 10(12), 1961–1964 (2017)

4. Alarabi, L., Mokbel, M.F., Musleh, M.: ST-Hadoop: a MapReduce framework for spatio-temporal data. In: SSTD Conference, pp. 84–104 (2017)

5. Alarabi, L.: Summit: a scalable system for massive trajectory data management. SIGSPATIAL Special 10(3), 2–3 (2018)

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