Abstract
Many data mining techniques have been introduced to perform different information tasks to mine useful patterns in text documents. However, the way to use effectively and update discovered patterns is still a research issue, particularly within the domain of text mining . Text mining methods adopt term based approach and phrase based approach. Phrase based approach performs better than the term based as phrases carry more information. In this paper we have tendency to propose a new methodology to enhance the utilization of the effectively discovered patterns by including the process of D-pattern evolving and inner pattern evolving.
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Vignani, B., Satapathy, S.C. (2014). D-Pattern Evolving and Inner Pattern Evolving for High Performance Text Mining. In: Satapathy, S., Udgata, S., Biswal, B. (eds) Proceedings of the International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA) 2013. Advances in Intelligent Systems and Computing, vol 247. Springer, Cham. https://doi.org/10.1007/978-3-319-02931-3_57
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DOI: https://doi.org/10.1007/978-3-319-02931-3_57
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-02930-6
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