RkNN Query Processing in Distributed Spatial Infrastructures: A Performance Study-Reference-Cited by-同舟云学术

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RkNN Query Processing in Distributed Spatial Infrastructures: A Performance Study

Published:2017 Issue: Volume: Page:200-207
ISSN:0302-9743
Container-title:Model and Data Engineering
language:
Short-container-title:

Author:

García-García Francisco,Corral Antonio,Iribarne Luis,Vassilakopoulos Michael

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-66854-3_15

Reference18 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. Dean, J., Ghemawat, S.: MapReduce: simplified data processing on large clusters. In: OSDI Conference, pp. 137–150 (2004)

3. Eldawy, A., Alarabi, L., Mokbel, M.F.: Spatial partitioning techniques in SpatialHadoop. PVLDB 8(12), 1602–1613 (2015)

4. Eldawy, A., Mokbel, M.F.: SpatialHadoop: a MapReduce framework for spatial data. In: ICDE Conference, pp. 1352–1363 (2015)

5. Lecture Notes in Computer Science;F García-García,2016

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Novel Query Method for Spatial Database Based on Improved K-Nearest Neighbor Algorithm;International Journal of Decision Support System Technology;2023-10-25

2. Efficient distributed algorithms for distance join queries in spark-based spatial analytics systems;International Journal of General Systems;2023-02-19

3. MRSLICE: Efficient RkNN Query Processing in SpatialHadoop;Model and Data Engineering;2019

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