dc.contributor.author | Sunkara, Sowjanya | |
dc.date.accessioned | 2014-04-15T18:33:17Z | |
dc.date.available | 2014-04-15T18:33:17Z | |
dc.date.issued | 2007-05-01 | |
dc.identifier.uri | https://hdl.handle.net/11244/8251 | |
dc.description.abstract | Technologies dealing with location such as GPS are producing more and more data of moving objects. Spatio-temporal databases store information about the positions of individual objects over time. Real-world applications of spatio-temporal data include vehicle navigation, migration of people, tracking and monitoring air-based, sea or land-based vehicles. Also the location technologies, such as GPS and telegraphy, are producing more and more data of moving objects. Spatio-temporal database is needed to manage these data, so as to solve the problems in spatio-temporal applications. A spatio-temporal database adopts an exhaustive search strategy for querying the trajectories. This is very time-consuming when processing large datasets for the given spatio-temporal query conditions. As a result, efficient Spatio-Temporal indexing methods are highly demanded to improve the performance of the system in searching such large datasets. | |
dc.format | application/pdf | |
dc.language | en_US | |
dc.publisher | Oklahoma State University | |
dc.rights | Copyright is held by the author who has granted the Oklahoma State University Library the non-exclusive right to share this material in its institutional repository. Contact Digital Library Services at lib-dls@okstate.edu or 405-744-9161 for the permission policy on the use, reproduction or distribution of this material. | |
dc.title | Efficient Indexing Structure for Trajectories in Geographical Information Systems | |
dc.type | text | |
osu.filename | Sunkara_okstate_0664M_2185.pdf | |
osu.college | Arts and Sciences | |
osu.accesstype | Open Access | |
dc.description.department | Computer Science Department | |
dc.type.genre | Thesis | |
dc.subject.keywords | indexing | |
dc.subject.keywords | trajectories | |
dc.subject.keywords | gis | |
dc.subject.keywords | fnr tree | |
dc.subject.keywords | tb tree | |
dc.subject.keywords | space and time indexing | |