Title
Map-based BitSet association rule mining of remote sensing images
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.
Year
DOI
Venue
2005
10.1109/IGARSS.2005.1525215
IGARSS
Keywords
Field
DocType
treemap,association rule discovery,image processing,association rule,remote sensing image,crop yield,bitset,crops,treemap class,geophysical signal processing,crop production,bitset logical and operation,data mining,crop remote sensing image,map-based bitset association rule mining,vegetation mapping,transaction database,java,boolean values,association rules,remote sensing,association rule mining
Data mining,Crop production,Logical conjunction,Computer science,Remote sensing,Image processing,Image coding,Association rule learning,Java,Geophysical signal processing,Computation
Conference
Volume
Issue
ISSN
2
07
2153-6996
ISBN
Citations 
PageRank 
0-7803-9050-4
0
0.34
References 
Authors
6
4
Name
Order
Citations
PageRank
Huang Hongyu142.07
Huang Duanqiong200.34
Chongcheng Chen310826.08
Fan Minghui400.34