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        <identifier>oai:ipsj.ixsq.nii.ac.jp:00018776</identifier>
        <datestamp>2025-01-22T22:32:52Z</datestamp>
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          <dc:title>比率規則マイニングシステムの開発と評価</dc:title>
          <dc:title xml:lang="en">Development and Evaluation of a Ratio Rule Mining System</dc:title>
          <jpcoar:creator>
            <jpcoar:creatorName>濱本, 雅史</jpcoar:creatorName>
            <jpcoar:creatorName>北川, 博之</jpcoar:creatorName>
          </jpcoar:creator>
          <jpcoar:creator>
            <jpcoar:creatorName xml:lang="en">Masafumi, HAMAMOTO</jpcoar:creatorName>
            <jpcoar:creatorName xml:lang="en">Hiroyuki, KITAGAWA</jpcoar:creatorName>
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          <datacite:description descriptionType="Other">比率規則は数値データ中における線形関係を表したものである。われわれはこれまでの研究において、比率規則を線分とその周辺領域として表現し、サポートや確信度といった概念を導入してきた。これによりユーザはパラメータを適当に与えることで、各ユーザの意図を汲んだ線形関係を比率規則として抽出可能となった。抽出された比率規則はデータの特徴を表すだけでなく未知データの予測などの応用が可能である。本論文では比率規則を抽出し応用するためのシステム RRMiner の構築について述べ、比率規則の応用手法を提案する。また試作した本システムを示すとともに、実データを用いた実験で比率規則の応用手法の妥当性を明らかにする。</datacite:description>
          <datacite:description descriptionType="Other">Ratio Rules represent linear relationships which are included in numeric data. In the previous works, we have defined a Ratio Rule as a line segment and its neighborhood, and introduced concepts such as support and confidence. These concepts enable us to extract linear relationships which reflect on user's intentions. Extracted Ratio Rules do not only reveal characteristics of data, but they are applicable to many kinds of purposes such as unknown data prediction. This paper describes development of a mining and application system for Ratio Rules, RRMiner, and some application methods for Ratio Rules are proposed. We show a demonstration system and evaluate adequacy of the application methods using real data.</datacite:description>
          <dc:publisher xml:lang="ja">情報処理学会</dc:publisher>
          <datacite:date dateType="Issued">2007-07-03</datacite:date>
          <dc:language>jpn</dc:language>
          <dc:type rdf:resource="http://purl.org/coar/resource_type/c_18gh">technical report</dc:type>
          <jpcoar:identifier identifierType="URI">https://ipsj.ixsq.nii.ac.jp/records/18776</jpcoar:identifier>
          <jpcoar:sourceIdentifier identifierType="NCID">AN10112482</jpcoar:sourceIdentifier>
          <jpcoar:sourceTitle>情報処理学会研究報告データベースシステム（DBS）</jpcoar:sourceTitle>
          <jpcoar:volume>2007</jpcoar:volume>
          <jpcoar:issue>65(2007-DBS-143)</jpcoar:issue>
          <jpcoar:pageStart>177</jpcoar:pageStart>
          <jpcoar:pageEnd>182</jpcoar:pageEnd>
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            <datacite:date dateType="Available">2009-07-03</datacite:date>
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