A fast algorithm for mining association rules in medical image data

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 implementat...

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Bibliographic Details
Main Authors: Olukunle, A., Ehikioya, S.
Format: Conference Proceeding
Language:English
Subjects:
Algorithms
Association rules
Biomedical imaging
Computed tomography
Computer science
Data mining
Digital images
Frequencies
Magnetic resonance
Magnetic resonance imaging
Medical diagnostic imaging
Physics computing
Transaction databases
Online Access:Request full text
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Description
Summary: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.
ISSN:0840-7789
2576-7046
DOI:10.1109/CCECE.2002.1013116