vioft2nntf2t|tblJournal|Abstract_paper|0xf4ff98d31e00000028c7040001000800 Indexing and query processing is an emerging research field in spatio - temporal data. Most of the real-time applications such as location based services, fleet management, traffic prediction and radio frequency identification and sensor networks are based on spatiotemporal indexing and query processing. All the indexing and query processing applications is any one of the forms, such as spatio index access and supporting queries or spatio-temporal indexing method and support query or temporal dimension, while in spatial data it is considered as the second priority. In this paper, give the survey of the various uncertain indexing and query processing techniques. Most of the existing survey works on spatio-temporal are based on indexing methods and query processing, but presented separately. Both the indexing and querying are related, hence state - of - art of both the indexing and query processing techniques are considered together. This paper gives the details of spatio-temporal data classification, various types of indexing methods, query processing, application areas and research direction of spatio-temporal indexing and query processing.
A John1, M Sugumaran2, R S Rajesh3
Manonmanium Sundaranar University, India1, Pondicherry Engineering College, India2, Manonmanium Sundaranar University, India3
Uncertain Data, Spatio-Temporal Index, Spatio-Temporal Queries, Skyline Query, Top-k Query, Nearest-Neighbor Query
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| Published By :
ICTACT
Published In :
ICTACT Journal on Soft Computing
( Volume: 6 , Issue: 3 , Pages: 1198-1217 )
Date of Publication :
April 2016
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259
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