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  <titleInfo>
    <nonSort>A </nonSort>
    <title>self-organizing map approach for the discovery of shared interest</title>
  </titleInfo>
  <name type="personal">
    <namePart>Mantoro, Teddy</namePart>
    <role>
      <roleTerm authority="marcrelator" type="text">creator</roleTerm>
    </role>
  </name>
  <name type="personal">
    <namePart>Sadananda, Ramakoti</namePart>
    <role>
      <roleTerm type="text">Chairperson</roleTerm>
    </role>
  </name>
  <name type="personal">
    <namePart>Yulu, Qi</namePart>
    <role>
      <roleTerm type="text">Examination Committee</roleTerm>
    </role>
  </name>
  <name type="personal">
    <namePart>Hawkey Roger</namePart>
    <role>
      <roleTerm type="text">Examination Committee</roleTerm>
    </role>
  </name>
  <name type="corporate">
    <namePart>ASDU Staff (No Donor)  Asian Institute Of Technology</namePart>
    <role>
      <roleTerm type="text">Scholarship Donor</roleTerm>
    </role>
  </name>
  <typeOfResource>text</typeOfResource>
  <originInfo>
    <place>
      <placeTerm type="code" authority="marccountry">th</placeTerm>
    </place>
    <place>
      <placeTerm type="text">Bangkok</placeTerm>
    </place>
    <publisher>Asian Institute of Technology</publisher>
    <dateIssued>1994</dateIssued>
    <issuance>monographic</issuance>
  </originInfo>
  <language>
    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
  </language>
  <physicalDescription>
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    <extent>96 leaves</extent>
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  <abstract>Internet is one of the fastest growing human-constructed phenomena in history.  The explosive growth of the Internet has brought with it corresponding growth in the  amount of information available. A fundamental problem confronting users of such  network is how to cluster people by shared interest to support interpersonal resources  discovery, based on electronic mail communication patterns.  This research is concerned with the clustering of nodes based on electronic mail  communication. Such clusters will be useful to discover shared interests between the  users, and between users and resources. We have developed an approach based on self organizing maps to partition an arbitrary network of communication into clusters  representing shared interests. The method has been compared with graph partition  methods. </abstract>
  <note>A thesis submitted in partial fulfillment of the requirement for the degree of Master  of Science, School of Engineering and Technology</note>
  <note>Thesis (M.Sc.) - Asian Institute of Technology, 1994</note>
  <subject authority="lcsh">
    <topic>Internet (Computer network)</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Electronic mail systems</topic>
  </subject>
  <relatedItem type="series">
    <titleInfo>
      <title>Thesis ; no. CS-94-44</title>
    </titleInfo>
    <name type="corporate">
      <namePart>Asian Institute of Technology.</namePart>
      <namePart/>
    </name>
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  <identifier type="uri">http://203.159.5.9/ait-thesis/detail.php?q=B15770</identifier>
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    <url displayLabel="Full-Text">http://203.159.5.9/ait-thesis/detail.php?q=B15770</url>
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