A Model of Aggregate Operations for Data Analytics over Spatiotemporal Objects-Reference-Cited by-同舟云学术

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A Model of Aggregate Operations for Data Analytics over Spatiotemporal Objects

Published:2014 Issue: Volume: Page:234-240
ISSN:0302-9743
Container-title:Lecture Notes in Computer Science
language:
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Author:

Maughan Logan,McKenney Mark,Benchley Zachary

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-12256-4_25

Reference9 articles.

1. Güting, R.H., Böhlen, M.H., Erwig, M., Jensen, C.S., Lorentzos, N.A., Schneider, M., Vazirgiannis, M.: A Foundation for Representing and Querying Moving Objects. ACM Trans. Database Syst. 25(1), 1–42 (2000)

2. Lazaridis, I., Mehrotra, S.: Progressive approximate aggregate queries with a multi-resolution tree structure. SIGMOD Rec. 30(2), 401–412 (2001)

3. Lopez, I., Snodgrass, R., Moon, B.: Spatiotemporal aggregate computation: a survey. IEEE Transactions on Knowledge and Data Engineering 17(2), 271–286 (2005)

4. McKenney, M., Olsen, B.: Algorithms for fundamental spatial aggregate operations over regions. In: Proceedings of the ACM SIGSPATIAL BigSpatial, pp. 55–64 (2013)

5. Papadias, D., Kalnis, P., Zhang, J., Tao, Y.: Efficient olap operations in spatial data warehouses. In: Proceedings of SSTD (2001)

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