Expression of Time Series in Natural Language with Global Trends and Local Features ---Tuning of Fuzzy Intervals in the Temporal Axis

DOI

Bibliographic Information

Other Title
  • 全体的傾向と局所的特徴に基づく時系列データの言葉による表現 ---期間のファジィ集合の決定---

Abstract

We have many kinds of data of time series such as stock prices. We have proposed a method to express a global trend of them in a natural language via representative values on the fuzzy intervals in the temporal axis and local features via the position of large difference between the original data and the data generated from the global trends. In the previous research we used the fixed fuzzy intervals for various data of time series. However, humans usually tune them with local features for every data of time series. In this paper, we propose a method to tune the fuzzy intervals in the temporal axis by reducing difference between the original data and the data generated from the global trend. As a result, the fuzzy intervals have been tuned by local features, with the global trend being expressed in more appropriate word.

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Keywords

Details 詳細情報について

  • CRID
    1390001205671645056
  • NII Article ID
    130004591660
  • DOI
    10.14864/fss.25.0.76.0
  • Text Lang
    ja
  • Data Source
    • JaLC
    • CiNii Articles
  • Abstract License Flag
    Disallowed

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