Abstract
Analyzing mass information and supporting insight based on analysis results are very important work but it needs much effort and time. Information analysis and future prediction about science and IT filed data are also very critical tasks for researchers, government officers, businessman, etc. Therefore, in this paper, we propose technology opportunity discovery (TOD) model based on feature selection and decision making for effective, systematic, and objective information analysis and future forecasting of science and IT field.
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Kim, J., Lee, S., Lee, J., Lee, M., Jung, H. (2011). Design of TOD Model for Information Analysis and Future Prediction. In: Kim, Th., et al. U- and E-Service, Science and Technology. UNESST 2011. Communications in Computer and Information Science, vol 264. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27210-3_40
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DOI: https://doi.org/10.1007/978-3-642-27210-3_40
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-27209-7
Online ISBN: 978-3-642-27210-3
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