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Processing of extreme moving-object update and query workloads in main memory.

, , and . VLDB J., 23 (5): 817-841 (2014)

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Processing of extreme moving-object update and query workloads in main memory., , and . VLDB J., 23 (5): 817-841 (2014)QUASII: QUery-Aware Spatial Incremental Index., , , and . EDBT, page 325-336. OpenProceedings.org, (2018)Detecting Defects with an Interactive Code Review Tool Based on Visualisation and Machine Learning., , , , and . SEKE, page 412-417. Knowledge Systems Institute Graduate School, (2009)Thread-Level Parallel Indexing of Update Intensive Moving-Object Workloads., , , and . SSTD, volume 6849 of Lecture Notes in Computer Science, page 186-204. Springer, (2011)Efficient Bundled Spatial Range Queries., , , , and . SIGSPATIAL/GIS, page 139-148. ACM, (2019)Parallel main-memory indexing for moving-object query and update workloads., , and . SIGMOD Conference, page 37-48. ACM, (2012)Spatial Joins in Main Memory: Implementation Matters!, and . Proc. VLDB Endow., 8 (1): 97-100 (2014)Improving Spatial Data Processing by Clipping Minimum Bounding Boxes., , , and . ICDE, page 425-436. IEEE Computer Society, (2018)A Clustering Approach to the Discovery of Points of Interest from Geo-Tagged Microblog Posts., , and . MDM (1), page 178-188. IEEE Computer Society, (2014)Trees or grids?: indexing moving objects in main memory., , , , and . GIS, page 236-245. ACM, (2009)