Data mining method from text database based on fuzzy quantification analysis

Keisuke Aoki, Junzo Watada

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    2 Citations (Scopus)

    Abstract

    Recently, various types of data are expected to get in information processing according to multi-media technology. Especially, linguistic data are employed in fuzzy systems as well as fuzzy numerical values. In this paper we propose a text minig method based on fuzzy quantification model. In the process of text mining, we will pursue the following steps: 1) Sentences included in a text in Japanese are broken down into words. 2) It is possible to realize common understanding using fuzzy thesaurus that enables us to translate words into synonyms or into upper concepts. In this paper, we employ the method to translate words using Chinese characters or continuous letters of Katakana more then one katakana letter (Japanese alphabet letter) into keywords. The method realizes the high speed of processing without any dictionary for separating words. Fuzzy multivariate analysis is employed to analyze such processed data and to abstract a latent mutual related structure under the data. In other words, we abstract the knowledge from the given text data. At the end we apply the method to mining the text information of libraries and Web pages distributed over a web network and discussing about the application to Kansei engineering.

    Original languageEnglish
    Title of host publicationConference Proceedings - IEEE International Conference on Systems, Man and Cybernetics
    Pages6472-6478
    Number of pages7
    Volume7
    DOIs
    Publication statusPublished - 2004
    Event2004 IEEE International Conference on Systems, Man and Cybernetics, SMC 2004 - The Hague
    Duration: 2004 Oct 102004 Oct 13

    Other

    Other2004 IEEE International Conference on Systems, Man and Cybernetics, SMC 2004
    CityThe Hague
    Period04/10/1004/10/13

    Keywords

    • Fuzzy quantification analysis
    • Library data
    • Text mining

    ASJC Scopus subject areas

    • Engineering(all)

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  • Cite this

    Aoki, K., & Watada, J. (2004). Data mining method from text database based on fuzzy quantification analysis. In Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics (Vol. 7, pp. 6472-6478) https://doi.org/10.1109/ICSMC.2004.1401419