DocumentCode
1860365
Title
A fast algorithm for mining association rules in medical image data
Author
Olukunle, Adepele ; Ehikioya, Sylvanus
Author_Institution
Dept. of Comput. Sci., Manitoba Univ., Winnipeg, Man., Canada
Volume
2
fYear
2002
fDate
2002
Firstpage
1181
Abstract
This paper presents a fast association rule mining algorithm which is suitable for medical image data sets. In particular, it assesses the feasibility of using association rule algorithms to extract hidden information from medical image data sets. In addition, we provide a flavour of our implementation environment. Finally, we show, with an example, how our proposed algorithm works to assess its suitability.
Keywords
data mining; data structures; feature extraction; image texture; medical expert systems; medical image processing; visual databases; compact data representation scheme; data mining; fast association rule mining algorithm; feature extraction; frequent-pattern growth algorithm; hidden information; implementation environment; knowledge extraction; medical image data sets; rule generation; Association rules; Biomedical imaging; Computed tomography; Computer science; Data mining; Digital images; Magnetic resonance; Medical diagnostic imaging; Physics computing; Transaction databases;
fLanguage
English
Publisher
ieee
Conference_Titel
Electrical and Computer Engineering, 2002. IEEE CCECE 2002. Canadian Conference on
ISSN
0840-7789
Print_ISBN
0-7803-7514-9
Type
conf
DOI
10.1109/CCECE.2002.1013116
Filename
1013116
Link To Document