DocumentCode :
2062105
Title :
A New Spatial Index Tree Based on Triangle Folding Algorithm
Author :
Li, Guobin ; Tang, Jine
Author_Institution :
Sch. of Comput. Sci. & Technol., Henan Polytech. Univ., Jiaozuo, China
fYear :
2010
fDate :
10-12 Aug. 2010
Firstpage :
576
Lastpage :
579
Abstract :
The index of spatial database is the key technology to improve the efficiency of spatial database storage and the retrieval performance. In this paper, based on the Minimum Bounding Rectangle MBR, a new spatial index tree (dot marked triple tree) based on triangle folding algorithm is proposed to compress data storage space, thereby the storage efficiency of space is increased. During the process of inserting, deleting, querying, it only needs to find two regions starting from the leaf nodes, i.e. the completely contained by a sub-regional and intersecting with cross-lines. The algorithm can reduce the complexity, find the smallest area of a triangle surrounded and improve the efficiency of the query, comparing to the search beginning directly from the root, it is no longer needs to compare the size of the surrounding area.
Keywords :
data compression; query processing; storage allocation; trees (mathematics); visual databases; data storage; information retrieval; minimum bounding rectangle; spatial database; spatial index tree; triangle folding algorithm; Business; Distributed computing; MBR; compress data storage space; space retrieval; triangle folding algorithm;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Distributed Computing and Applications to Business Engineering and Science (DCABES), 2010 Ninth International Symposium on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4244-7539-1
Type :
conf
DOI :
10.1109/DCABES.2010.123
Filename :
5571547
Link To Document :
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