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Feature Selection and Enhanced Krill Herd Algorithm for Text Document Clustering

Part of the book series: Studies in Computational Intelligence ((SCI,volume 816))

Abstract

With the growth of the amount of text information on Internet web pages and modern applications, in general, interest in the text analysis area has increased to facilitate the processing of a large amount of unorganized text information (Sadeghian, Nezamabadi-pour, International symposium on artificial intelligence and signal processing (AISP), pp 240–245, (2015)).

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Notes

  1. 1.

    https://en.wikipedia.org/wiki/List_of_countries_by_number_of_Internet_users.

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Authors and Affiliations

  1. Universiti Sains Malaysia, Penang, Malaysia

    Laith Mohammad Qasim Abualigah

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  1. Laith Mohammad Qasim Abualigah
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Correspondence to Laith Mohammad Qasim Abualigah .

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Abualigah, L.M.Q. (2019). Introduction. In: Feature Selection and Enhanced Krill Herd Algorithm for Text Document Clustering. Studies in Computational Intelligence, vol 816. Springer, Cham. https://doi.org/10.1007/978-3-030-10674-4_1

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