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Combining Symbolic and Numeric Techniques for DL Contents Classification and Analysis

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Engineering of Intelligent Systems (IEA/AIE 2001)

Abstract

The goal of this article is to prove that the mixture of differ- ent classifcation and mining techniques coming from so different areas such as the numeric and the symbolic worlds can combine their mutual advantages in order to produce a significant enhancement of the overall classification and retrieval performance in a Data Mining or Information Retrieval context.

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© 2001 Springer-Verlag Berlin Heidelberg

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Toussaint, Y., Lamirel, JC. (2001). Combining Symbolic and Numeric Techniques for DL Contents Classification and Analysis. In: Monostori, L., Váncza, J., Ali, M. (eds) Engineering of Intelligent Systems. IEA/AIE 2001. Lecture Notes in Computer Science(), vol 2070. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45517-5_29

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  • DOI: https://doi.org/10.1007/3-540-45517-5_29

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-42219-8

  • Online ISBN: 978-3-540-45517-2

  • eBook Packages: Springer Book Archive

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