DocumentCode
440583
Title
Map-based BitSet association rule mining of remote sensing images
Author
Hongyu, Huang ; Duanqiong, Huang ; Chongcheng, Chen ; Minghui, Fan
Author_Institution
Spatial Inf. Res. Center, Fuzhou Univ., China
Volume
2
fYear
2005
fDate
25-29 July 2005
Abstract
This paper presents the MBSA algorithm, which uses TreeMap class and a compressed BitSet class in Java. Boolean values are stored in the Bitset. MBSA algorithm scans the transaction database once and further database scans can be replaced by Bitset logical AND operation, which efficiently improves the computation. The MBSA algorithm was applied to crop remote sensing images for association rules mining. Interesting association rules discovered from remote sensing images composed of red, green and blue bands and crop yield is useful for improving crop production.
Keywords
Java; crops; data mining; geophysical signal processing; image processing; vegetation mapping; Bitset logical AND operation; Boolean values; Java; TreeMap class; association rule discovery; crop production; crop remote sensing image; crop yield; map-based BitSet association rule mining; transaction database; Association rules; Crops; Data mining; Image coding; Image databases; Itemsets; Iterative algorithms; Laboratories; Remote sensing; Transaction databases;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium, 2005. IGARSS '05. Proceedings. 2005 IEEE International
Print_ISBN
0-7803-9050-4
Type
conf
DOI
10.1109/IGARSS.2005.1525215
Filename
1525215
Link To Document