1 Ocak 2009 Konferans bildirisi Açık Erişim

Ozgul, Fatih; Erdem, Zeki; Bowerman, Chris

DataCite XML

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  <identifier identifierType="URL">https://aperta.ulakbim.gov.tr/record/96383</identifier>
  <creators>
    <creator>
      <creatorName>Ozgul, Fatih</creatorName>
      <givenName>Fatih</givenName>
      <familyName>Ozgul</familyName>
      <affiliation>Univ Sunderland, Dept Comp &amp;Technol, Sunderland SR6 0DD, England</affiliation>
    </creator>
    <creator>
      <creatorName>Erdem, Zeki</creatorName>
      <givenName>Zeki</givenName>
      <familyName>Erdem</familyName>
      <affiliation>TUBITAK Marmara Res Ctr, Inst Informat Technol, TR-41470 Gebze, Kocaeli, Turkey</affiliation>
    </creator>
    <creator>
      <creatorName>Bowerman, Chris</creatorName>
      <givenName>Chris</givenName>
      <familyName>Bowerman</familyName>
      <affiliation>Univ Sunderland, Dept Comp &amp;Technol, Sunderland SR6 0DD, England</affiliation>
    </creator>
  </creators>
  <titles>
    <title>Prediction Of Unsolved Terrorist Attacks Using Group Detection Algorithms</title>
  </titles>
  <publisher>Aperta</publisher>
  <publicationYear>2009</publicationYear>
  <dates>
    <date dateType="Issued">2009-01-01</date>
  </dates>
  <resourceType resourceTypeGeneral="Text">Conference paper</resourceType>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://aperta.ulakbim.gov.tr/record/96383</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.81043/aperta.96382</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsIdenticalTo">10.81043/aperta.96383</relatedIdentifier>
  </relatedIdentifiers>
  <rightsList>
    <rights rightsURI="http://www.opendefinition.org/licenses/cc-by">Creative Commons Attribution</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
  </rightsList>
  <descriptions>
    <description descriptionType="Abstract">Detection of terrorist groups using crime data has few examples currently; this is because of lack of detailed crime data which contain terrorist groups' attacks and activities. In this study, a novel prediction model; CPM is applied to a crime dataset which includes solved and unsolved terrorist events in Istanbul, Turkey between 2003 and 2005, aiming to predict perpetuators of terrorist events which are still remained unsolved. CPM initially learns similarities of crime incident attributes from all terrorist attacks and then puts them in appropriate clusters. After solved and unsolved attacks are gathered in the same "umbrella" clusters, CPM classifies unsolved cases to previously known terrorist groups. Recall and precision results and findings of CPM regarded as successful then a baseline system; TMODS.</description>
  </descriptions>
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