アノテーション付き時系列データからの知識発見システムの開発
アノテーション付き時系列データからの知識発見システムの開発
カテゴリ: 論文誌(論文単位)
グループ名: 【C】電子・情報・システム部門
発行日: 2012/04/01
タイトル(英語): Development of Knowledge Discovery System from Annotated Time Sereis Data
著者名: 杉村 博(神奈川工科大学 工学研究科 情報工学専攻),松本 一教(神奈川工科大学 工学研究科 情報工学専攻)
著者名(英語): Hiroshi Sugimura (Course of Information and Computer Sciences, Graduate School of Engineering, Kanagawa Institute of Technology), Kazunori Matsumoto (Course of Information and Computer Sciences, Graduate School of Engineering, Kanagawa Institute of Technology)
キーワード: アノテーション,特徴抽出,クラス分類,時系列データ,知識情報処理 Annotation,Feature extraction,Classification,Time series data,Knowledge engineering
要約(英語): This paper proposes a knowledge discovery system from annotated time series data, they are expressed as sequences of numerical values. They generally have a lot of important information in background, but it is not included in data. Analysis methods without background information have limitations. Several studies propose meta data approaches, which is often expressed as a short text, the techniques are insufficient for our purpose. We therefore develop a method that uses annotations which are compact expressions of back ground information. Subsequences obtained by using domain knowledge are organized into groups based on a distance measure. Among the groups some of them are identified as important features. In order to measure importance, we develop a method that uses global and local frequencies of subsequences. This idea is similar to the TF*IDF method, which is used in text mining. A subsequence that represents an important group is regarded as a feature pattern. In addition, we extract association rules over feature patterns and annotations. We introduce a new concept, called max allowance length, to focus only on influential annotations to a pattern. We demonstrate an effect of the proposed method by using financial data.
本誌: 電気学会論文誌C(電子・情報・システム部門誌) Vol.132 No.4 (2012)
本誌掲載ページ: 592-597 p
原稿種別: 論文/日本語
電子版へのリンク: https://www.jstage.jst.go.jp/article/ieejeiss/132/4/132_4_592/_article/-char/ja/
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