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Text Mining: Generating Hypotheses from MEDLINE (0)
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by
Padmini Srinivasan
| Venue: | Journal of the American Society for Information Science and Technology |
| Citations: | 77 - 4 self |
BibTeX
@ARTICLE{Srinivasan_textmining:,
author = {Padmini Srinivasan},
title = {Text Mining: Generating Hypotheses from MEDLINE},
journal = {Journal of the American Society for Information Science and Technology},
year = {},
volume = {55},
pages = {396--413}
}
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Abstract
Hypothesis generation, a crucial initial step for making scientific discoveries, relies on prior knowledge, experience and intuition. Chance connections made between seemingly distinct subareas sometimes turn out to be fruitful. The goal in text mining is to assist in this process by automatically discovering a small set of interesting hypotheses from a suitable text collection.
