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        <datestamp>2025-01-22T07:37:36Z</datestamp>
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        <jpcoar:jpcoar xmlns:datacite="https://schema.datacite.org/meta/kernel-4/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:dcndl="http://ndl.go.jp/dcndl/terms/" xmlns:dcterms="http://purl.org/dc/terms/" xmlns:jpcoar="https://github.com/JPCOAR/schema/blob/master/1.0/" xmlns:oaire="http://namespace.openaire.eu/schema/oaire/" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:rioxxterms="http://www.rioxx.net/schema/v2.0/rioxxterms/" xmlns:xs="http://www.w3.org/2001/XMLSchema" xmlns="https://github.com/JPCOAR/schema/blob/master/1.0/" xsi:schemaLocation="https://github.com/JPCOAR/schema/blob/master/1.0/jpcoar_scm.xsd">
          <dc:title>情報検索を用いたアクティブマイニングの螺旋サイクル</dc:title>
          <dc:title xml:lang="en">Spiral Cycle of Acitive Mining by Using an Information Retrieval Approach</dc:title>
          <jpcoar:creator>
            <jpcoar:creatorName>チャン・ナム・トアン</jpcoar:creatorName>
            <jpcoar:creatorName>市瀬龍太郎</jpcoar:creatorName>
            <jpcoar:creatorName>沼尾, 正行</jpcoar:creatorName>
          </jpcoar:creator>
          <jpcoar:creator>
            <jpcoar:creatorName xml:lang="en">Tuannam, Tran</jpcoar:creatorName>
            <jpcoar:creatorName xml:lang="en">Ryutaro, Ichise</jpcoar:creatorName>
            <jpcoar:creatorName xml:lang="en">Masayuki, Numao</jpcoar:creatorName>
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          <datacite:description descriptionType="Other">本論文では，アクティブマイニングを実現するために，アクティブ情報収集とユーザ指向アクティブマイニングを組み合わせたマイニングシステムを提案する．文献データベースから，マイニングを行う属性とそれに関係がある文献数を調べ，属性の重要度を計算することで，属性の重要度に合わせた分類規則の生成を行う．さらに，文献から得られる属性とクラスの関係などの背景知識を活かすために，重要度を調整する機構も提案する．2種類の医療データを用いて評価を行った結果，提案した手法は面白い規則を生成できるのみならず，アクティブマイニングを実現するための一つの方法を提供出来るということが示された．</datacite:description>
          <datacite:description descriptionType="Other">This paper presents a method for realizing active mining. We have constructed a mining system which combines active information gathering and user-centered mining together. Our method modifies C4.5rules by taking into consideration the external weight of each attribute, which can be calculated by means of the number of corresponding documents found in the literrature. A method for adjusting the weights introduced in order to reflect the background knowledge concerning the relationship between an attribute and an class is also proposed in this paper. The experiments on tow kinds of medical data show that our proposed system is usuful in terms of generating interesting rules as well as providing a solution for realizing active mining.</datacite:description>
          <dc:publisher xml:lang="ja">情報処理学会</dc:publisher>
          <datacite:date dateType="Issued">2003-03-13</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/50437</jpcoar:identifier>
          <jpcoar:sourceIdentifier identifierType="NCID">AA11135936</jpcoar:sourceIdentifier>
          <jpcoar:sourceTitle>情報処理学会研究報告知能と複雑系（ICS）</jpcoar:sourceTitle>
          <jpcoar:volume>2003</jpcoar:volume>
          <jpcoar:issue>30(2002-ICS-132)</jpcoar:issue>
          <jpcoar:pageStart>75</jpcoar:pageStart>
          <jpcoar:pageEnd>80</jpcoar:pageEnd>
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            <datacite:date dateType="Available">2005-03-13</datacite:date>
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