Hierarchical Clustering Based on Reports Generated by Scriptlattes

Abstract : 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.
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Communication dans un congrès
IFIP International Conference on Advances in Production Management Systems (APMS), Sep 2016, Iguassu Falls, Brazil. IFIP Advances in Information and Communication Technology, AICT-488, pp.28-35, 2016, Advances in Production Management Systems. Initiatives for a Sustainable World. 〈10.1007/978-3-319-51133-7_4〉
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Wonder Alves, Saulo Santos, Pedro Schimit. Hierarchical Clustering Based on Reports Generated by Scriptlattes. IFIP International Conference on Advances in Production Management Systems (APMS), Sep 2016, Iguassu Falls, Brazil. IFIP Advances in Information and Communication Technology, AICT-488, pp.28-35, 2016, Advances in Production Management Systems. Initiatives for a Sustainable World. 〈10.1007/978-3-319-51133-7_4〉. 〈hal-01615783〉

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