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