Historical index structure for reducing insertion and search cost in LBS-Reference-Cited by-同舟云学术

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Historical index structure for reducing insertion and search cost in LBS

Published:2010-08 Issue:8 Volume:83 Page:1500-1511
ISSN:0164-1212
Container-title:Journal of Systems and Software
language:en
Short-container-title:Journal of Systems and Software

Author:

Jung Young Jin,Ryu Keun Ho,Shin Moon Sun,Nittel Silvia

Publisher

Elsevier BV

Subject

Hardware and Architecture,Information Systems,Software

Reference35 articles.

1. An, N., Kanth, R., Kothuri, V., Ravada, S., 2003. Improving performance with bulk-inserts in Oracle R-trees. In: 29th VLDB, pp. 948–951.

2. PIST: an efficient and practical indexing technique for historical spatio-temporal point data;Botea;Geoinformatica,2008

3. Chen, L., Choubey, R., Rundensteiner, E.A., 1998. Bulk insertions into R-trees using the small-tree-large-tree approach. In: ACM GIS Workshop, pp. 161–162.

4. Merging R-trees: efficient strategies for local bulk insertion;Chen;GeoInformatica,2002

5. Chen, S., Jensen, C.S., Lin., D., 2008. A benchmark for evaluating moving objects indexes. In: VLDB, pp. 1574–1585.

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1. Privacy Preserving Path Recommendation for Moving User on Location Based Service;2013 IEEE 10th International Conference on Ubiquitous Intelligence and Computing and 2013 IEEE 10th International Conference on Autonomic and Trusted Computing;2013-12

2. Research on Data Preprocessing Technology in Location Based Service;Advanced Materials Research;2013-08

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