'Nn query' presentation slideshows

Spatial Query Processing using the R-tree

Spatial Query Processing using the R-tree. Donghui Zhang CCIS, Northeastern University Feb 8, 2005. Content. The R-tree Range Query Aggregation Query NN Query RNN Query Closest Pair Query Close Pair Query Skyline Query. R-Tree Motivation. y axis. 10. m. g. h. l. 8. k. f. e.

884 views • 59 slides

Density-Based Clustering of Spatial Data when facing Physical Constraints Authors: Dr. Osmar R. Zaiane and Chi-hoon Lee

Density-Based Clustering of Spatial Data when facing Physical Constraints Authors: Dr. Osmar R. Zaiane and Chi-hoon Lee. Database Laboratory Department of Computing Science University of Alberta. DBCluC ( D ensity- B ased Clu stering with C onstraints). Introduction Related works

618 views • 38 slides

Peer-to-Peer Spatial Queries in Sensor Networks

Peer-to-Peer Spatial Queries in Sensor Networks. Murat Demirbas Hakan Ferhatosmanoglu The Ohio State University. Sensor networks. A sensor node: 8K RAM, 4Mhz processor magnetism, heat, sound, vibration, infrared wireless communication up to 200 feet costs ~$10 (right now costs $100)

396 views • 30 slides

Spatio-temporal Databases

Spatio-temporal Databases. Time Parameterized Queries. Intro. The results of conventional spatial queries are not very useful in dynamic environments because they may be invalidated very soon due to the movements of objects and queries. The Time Parameterized (TP) Window Query. Returns:

348 views • 22 slides

Spatio-temporal Databases

Spatio-temporal Databases. Time Parameterized Queries. Intro. The results of conventional spatial queries are not very useful in dynamic environments because they may be invalidated very soon due to the movements of objects and queries. The Time Parameterized (TP) Window Query. Returns:

381 views • 22 slides

k-Nearest Neighbors in Uncertain Graphs

k-Nearest Neighbors in Uncertain Graphs. VLDB10. Lin Yincheng 2011-02-28. Outline . Background Motivation Problem Definition Query Answering Approach Experimental Results. Background. k-Nearest Neighbors. Uncertain Graphs. 15. 5. 15. 5. 5.

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115 views • 11 slides