DocumentCode :
2122102
Title :
Progressive Spatial Join
Author :
Tok, Wee Hyong ; Bressan, Stéphane ; Lee, Mong Li
Author_Institution :
Sch. of Comput., Nat. Univ. of Singapore
fYear :
0
fDate :
0-0 0
Firstpage :
353
Lastpage :
358
Abstract :
In spatial data exploration and analysis, the system would present a user with initial promising results and empower the user to modify runtime query parameters. The high degree of interactivity would significantly reduce users´ waiting time for results that are not useful, and then having to re-issue a new query. To support this level of interaction during query processing, it necessitates the study of adaptive and progressive spatial query processing techniques that can deliver initial results quickly and adapt to run-time fluctuations during the delivery of remote data. Our goal is to design a generic framework for adaptive and progressive spatial query processing. In this paper, we present our ongoing work on designing progressive spatial join algorithm as an initial step
Keywords :
data analysis; query processing; visual databases; adaptive spatial query processing technique; progressive spatial join algorithm design; progressive spatial query processing technique; spatial data analysis; spatial data exploration; Algorithm design and analysis; Control systems; Data analysis; Fluctuations; Production; Query processing; Runtime; Spatial databases; Statistical distributions; Throughput;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Scientific and Statistical Database Management, 2006. 18th International Conference on
Conference_Location :
Vienna
ISSN :
1551-6393
Print_ISBN :
0-7695-2590-3
Type :
conf
DOI :
10.1109/SSDBM.2006.41
Filename :
1644332
Link To Document :
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