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An authorization policy management framework for dynamic medical data sharing

Al-Neyadi, Fahed and Abawajy, Jemal 2007, An authorization policy management framework for dynamic medical data sharing, in IPC 2007 proceedings : the 2007 International Conference on Intelligent Pervasive Computing, IEEE Computer Society, Los Alamitos, Calif., pp. 313-318.

Document type: Conference Paper
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Title An authorization policy management framework for dynamic medical data sharing
Author(s) Al-Neyadi, Fahed
Abawajy, Jemal
Conference name International Conference on Intelligent Pervasive Computing (2007 : Jeju Island, Korea)
Conference location Jeju Island, Korea
Conference dates 11-13 October, 2007
Title of proceedings IPC 2007 proceedings : the 2007 International Conference on Intelligent Pervasive Computing
Editor(s) [Unknown]
Publication date 2007
Conference series Intelligent Pervasive Computing Conference
Start page 313
End page 318
Publisher IEEE Computer Society
Place of publication Los Alamitos, Calif.
Keyword(s) feature extraction
merging
pattern clustering
text analysis
Summary In this paper, we propose a novel feature reduction approach to group words hierarchically into clusters which can then be used as new features for document classification. Initially, each word constitutes a cluster. We calculate the mutual confidence between any two different words. The pair of clusters containing the two words with the highest mutual confidence are combined into a new cluster. This process of merging is iterated until all the mutual confidences between the un-processed pair of words are smaller than a predefined threshold or only one cluster exists. In this way, a hierarchy of word clusters is obtained. The user can decide the clusters, from a certain level, to be used as new features for document classification. Experimental results have shown that our method can perform better than other methods.
Notes This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.
ISBN 0769530060
9780769530062
Language eng
Field of Research 080499 Data Format not elsewhere classified
HERDC Research category E1 Full written paper - refereed
Copyright notice ©2007, IEEE
Persistent URL http://hdl.handle.net/10536/DRO/DU:30008106
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