Biomedical Literature Mining with Transitive Closure and Maximum Network Flow
This thesis examines biomedical text mining with an application in bone biology. A special thanks is extended to Anita Park and Mark Jaeger from the Purdue University Graduate School Office, who acted as invaluable assets in the formatting of the thesis. IUPUI and every other university would be fo...
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| Language: | en_US |
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http://doi.acm.org/10.1145/1851476.1851552
2011
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| Online Access: | Andrew Hoblitzell, Snehasis Mukhopadhyay, Qian You, Shiaofen Fang, Yuni Xia, and Joseph Bidwell. 2010. Text mining for bone biology. In Proceedings of the 19th ACM International Symposium on High Performance Distributed Computing (HPDC '10). ACM, New York, NY, USA, 522-530. DOI=10.1145/1851476.1851552 http://doi.acm.org/10.1145/1851476.1851552 http://hdl.handle.net/1805/2609 |