DocumentCode :
3416474
Title :
The application of database mining techniques to data fusion in spatial databases
Author :
Getta, Janusz R. ; McKerrow, L. ; McKerrow, Phillip J.
Author_Institution :
Dept. of Comput. Sci., Wollongong Univ., NSW, Australia
fYear :
1996
fDate :
21-22 Nov 1996
Firstpage :
135
Lastpage :
140
Abstract :
This work applies some of the techniques used in mining of association rules in large relational databases to fusion of data from large spatial databases. The specific objective is to show that algorithms developed for the identification of frequent itemsets in the relational databases can be, after slight modifications, successfully used to fuse complex two dimensional objects from large amounts of range data collected with ultrasonic sensors. The paper presents two algorithms that use this approach to construct polylines and polygons from ultrasonic range data
Keywords :
distance measurement; mobile robots; sensor fusion; ultrasonic measurement; visual databases; complex 2D objects; data fusion; database mining techniques; large spatial databases; polygons; polylines; ultrasonic sensors; Association rules; Data mining; Fuses; Itemsets; Memory management; Relational databases; Robot sensing systems; Sensor fusion; Spatial databases; Transaction databases;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Data Fusion Symposium, 1996. ADFS '96., First Australian
Conference_Location :
Adelaide, SA
Print_ISBN :
0-7803-3601-1
Type :
conf
DOI :
10.1109/ADFS.1996.581096
Filename :
581096
Link To Document :
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