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            <title xml:lang="en">Hierarchical Clustering Based on Reports Generated by Scriptlattes</title>
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                <forename type="first">Wonder</forename>
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                <title xml:lang="en">Hierarchical Clustering Based on Reports Generated by Scriptlattes</title>
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                    <forename type="first">Wonder</forename>
                    <surname>Alves</surname>
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                    <forename type="first">Saulo</forename>
                    <forename type="middle">D.</forename>
                    <surname>Santos</surname>
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                  <title>IFIP International Conference on Advances in Production Management Systems (APMS)</title>
                  <date type="start">2016-09-03</date>
                  <date type="end">2016-09-07</date>
                  <settlement>Iguassu Falls</settlement>
                  <country key="BR">Brazil</country>
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                <term xml:lang="en">Hierarchical clustering</term>
                <term xml:lang="en">Clustering</term>
                <term xml:lang="en">Scriptlattes</term>
                <term xml:lang="en">Sucupira platform</term>
                <term xml:lang="en">Lattes curriculum</term>
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              <p>Scriptlattes has been used as an important tool to analyze a curriculum database of Brazilian researchers (Lattes curriculum). Such analysis enables a user generating reports for specific research field, knowledge area, graduate courses, and so forth. However, when users need a report of a Graduate Program, for instance, it is necessary to create subsets of information in order to run the script. Since each report needs a subset, in this paper we propose a hierarchical clustering method to categorize reports generated by Scriptlattes. Finally, experimental results show hierarchical clustering of a higher education institution, and approaches to stress such clustering.</p>
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              <org type="consortium">TC 5</org>
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          <orgName>Nove de Julho University [Bauru]</orgName>
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          <date type="start">2016-11-02</date>
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              <addrLine>Av. Nossa Sra. de Fátima, 1-80 - Jardim Estoril IV, Bauru - SP, 17016-160, Brésil</addrLine>
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