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Dynamic histograms for future spatiotemporal range predicates

Title
Dynamic histograms for future spatiotemporal range predicates
Author
손진현
Keywords
spatiotemporal databases; moving object; histogram; approximate query answering
Issue Date
2005-06
Publisher
ELSEVIER SCIENCE INC
Citation
INFORMATION SCIENCES, v. 172, No. 1-2, Page. 195-214
Abstract
Recently, in moving object databases that mainly manage the spatiotemporal attributes, approximate query processing for the future location-based queries has deserved enormous attention. Histograms are generally used for selectivity estimation and approximate query answering in database environments. Because histograms static properties may, however make them inappropriate for application areas that treat dynamic properties such as moving object databases, it is necessary to develop several mechanisms that can be well applied to dynamic query processing. In this paper we present a new method to efficiently process the approximate answers for future location-based query predicates on demand by using spatiotemporal histograms. Based on the concepts of entropy and marginal distribution, we build spatiotemporal histograms for the movement parameters, which result in the avoidance of reconstructing histograms. Using spatiotemporal histograms, the approximate future query processing can be achieved efficiently. In addition, we clarify and evaluate our proposed method with several experiments. #c# 2004 Elsevier Inc. All rights reserved.
URI
https://www.sciencedirect.com/science/article/pii/S0020025504002051http://repository.hanyang.ac.kr/handle/20.500.11754/111042
ISSN
0020-0255; 1872-6291
DOI
10.1016/j.ins.2004.07.007
Appears in Collections:
COLLEGE OF ENGINEERING SCIENCES[E](공학대학) > ETC
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