Analysis of time-series data using the rough set

Yoshiyuki Matsumoto*, Junzo Watada

*この研究の対応する著者

    研究成果: Conference contribution

    抄録

    Rough set theory was proposed by Z. Pawlak in 1982. This theory has high capability to mine knowledge based on decision rules from a database, a web base, a set and so on. The decision rule is widely used for data analysis as well. In this paper the decision rule is employed to reason for an unknown object. That is, the rough set theory is applied to analysis of economic time series data. An example shown in the paper indicates how to acquire knowledge from time series data. At the end we suggest its application to predictions.

    本文言語English
    ホスト出版物のタイトルSmart Innovation, Systems and Technologies
    出版社Springer Science and Business Media Deutschland GmbH
    ページ139-148
    ページ数10
    45
    ISBN(印刷版)9783319230238
    DOI
    出版ステータスPublished - 2016
    イベント3rd KES International Conference on Innovation in Medicine and Healthcare, InMed 2015 - Kyoto, Japan
    継続期間: 2015 9 112015 9 12

    出版物シリーズ

    名前Smart Innovation, Systems and Technologies
    45
    ISSN(印刷版)21903018
    ISSN(電子版)21903026

    Other

    Other3rd KES International Conference on Innovation in Medicine and Healthcare, InMed 2015
    国/地域Japan
    CityKyoto
    Period15/9/1115/9/12

    ASJC Scopus subject areas

    • コンピュータ サイエンス(全般)
    • 決定科学(全般)

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