Scientific and Statistical Database Management, International Conference on (2006)
July 3, 2006 to July 5, 2006
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/SSDBM.2006.41
Wee Hyong Tok , National University of Singapore
Stephane Bressan , National University of Singapore
Mong Li Lee , National University of Singapore
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.
Wee Hyong Tok, Stephane Bressan, Mong Li Lee, "Progressive Spatial Join", Scientific and Statistical Database Management, International Conference on, vol. 00, no. , pp. 353-358, 2006, doi:10.1109/SSDBM.2006.41