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Text Mining pp 341-357 | Cite as

Dynamic Document Organization

  • Taeho Jo
Chapter
Part of the Studies in Big Data book series (SBD, volume 45)

Abstract

This is concerned with the process of executing the dynamic document organization system which was initially proposed by Jo in 2006.

References

  1. 16.
    Eiben, A.E., Smith J.E.: Introduction to Evolutionary Computing. Springer, Berlin (1998)Google Scholar
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    Jo, T.: The Implementation of Dynamic Document Organization Using the Integration of Text Clustering and Text Categorization, University of Ottawa (2006)Google Scholar
  3. 26.
    Jo, T.: Modified version of SVM for text categorization. Int. J. Fuzzy Log. Intell. Syst. 8, 52–60 (2008)Google Scholar
  4. 35.
    Jo, T.: Index optimization with KNN considering similarities among features. In: The Proceedings of 14th International Conference on Advances in Information and Knowledge Engineering, pp. 120–124 (2015)Google Scholar
  5. 61.
    Lodhi, H., Saunders, C., Shawe-Taylor, J., Cristianini, N., Watkins, C.: Text classification with string kernels. J. Mach. Learn. Res. 2, 419–444 (2002)Google Scholar
  6. 68.
    Marz, N., Warren, J.: Big Data: Principles and Best Practices of Scalable Real Time Data Systems. Manning, Shelter Island (2015)Google Scholar

Copyright information

© Springer International Publishing AG, part of Springer Nature 2019

Authors and Affiliations

  • Taeho Jo
    • 1
  1. 1.School of Game, Hongik UniversitySeoulKorea (Republic of)

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