Search (3 results, page 1 of 1)

  • × author_ss:"Srinivasan, P."
  • × language_ss:"e"
  • × theme_ss:"Data Mining"
  1. Srinivasan, P.: Text mining in biomedicine : challenges and opportunities (2006) 0.01 
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    Abstract
    Text mining is about making serendipity more likely. Serendipity, the chance discovery of interesting ideas, has been responsible for many discoveries in science. Text mining systems strive to explore large text collections, separate the potentially meaningfull connections from a vast and mostly noisy background of random associations. In this paper we provide a summary of our text mining approach and also illustrate briefly some of the experiments we have conducted with this approach. In particular we use a profile-based text mining method. We have used these profiles to explore the global distribution of disease research, replicate discoveries made by others and propose new hypotheses. Text mining holds much potential that has yet to be tapped.
    Date
    29. 2.2008 17:14:09
  2. Qiu, X.Y.; Srinivasan, P.; Hu, Y.: Supervised learning models to predict firm performance with annual reports : an empirical study (2014) 0.01 
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    Date
    29. 1.2014 16:46:40
    Source
    Journal of the Association for Information Science and Technology. 65(2014) no.2, S.400-413
  3. Srinivasan, P.: Text mining : generating hypotheses from MEDLINE (2004) 0.00 
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    Source
    Journal of the American Society for Information Science and technology. 55(2004) no.5, S.396-413

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