Document Type
Conference Proceeding
Department
Information Systems and Technology (CGU)
Publication Date
2008
Disciplines
Computational Linguistics | Databases and Information Systems | Linguistics | Management Information Systems
Abstract
The number of publications in biomedicine is increasing enormously each year. To help researchers digest the information in these documents, text mining tools are being developed that present co-occurrence relations between concepts. Statistical measures are used to mine interesting subsets of relations. We demonstrate how directionality of these relations affects interestingness. Support and confidence, simple data mining statistics, are used as proxies for interestingness metrics. We first built a test bed of 126,404 directional relations extracted from biomedical abstracts, which we represent as graphs containing a central starting concept and 2 rings of associated relations. We manipulated directionality in four ways and randomly selected 100 starting concepts as a test sample for each graph type. Finally, we calculated the number of relations and their support and confidence. Variation in directionality significantly affected the number of relations as well as the support and confidence of the four graph types.
Rights Information
© 2008 IEEE Computer Society Washington. This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of The Claremont Colleges's products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to pubs-permissions@ieee.org.
Terms of Use & License Information
DOI
10.1109/HICSS.2008.443
Recommended Citation
Leroy, G.; Fiszman, M.; Rindflesch, T.C., "The Impact of Directionality in Predications on Text Mining," Hawaii International Conference on System Sciences, Proceedings of the 41st Annual , vol., no., pp.228,228, 7-10 Jan. 2008 doi: 10.1109/HICSS.2008.443
Included in
Computational Linguistics Commons, Databases and Information Systems Commons, Management Information Systems Commons
