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pro vyhledávání: '"Balby, Leandro"'
Publikováno v:
Journal of Information and Data Management; Vol 7 No 2 (2016): JOURNAL OF INFORMATION AND DATA MANAGEMENT; 166
Journal of Information and Data Management; v. 7 n. 2 (2016): JOURNAL OF INFORMATION AND DATA MANAGEMENT; 166
Journal of Information and Data Management; v. 7, n. 2 (2016): JOURNAL OF INFORMATION AND DATA MANAGEMENT; 166
Journal of Information and Data Management; v. 7 n. 2 (2016): JOURNAL OF INFORMATION AND DATA MANAGEMENT; 166
Journal of Information and Data Management; v. 7, n. 2 (2016): JOURNAL OF INFORMATION AND DATA MANAGEMENT; 166
Students’ dropout is a major concern of the Brazilian higher education institutions as it may cause waste of resources and decrease graduation rates. The early detection of students with high probability of dropping out, as well as understanding th
Autor:
Pérez, Joaquín, Pires, Carlos Eduardo, Balby, Leandro, Mexicano, Adriana, Hidalgo, Miguel Ángel
Publikováno v:
Journal of Information and Data Management; v. 4, n. 2 (2013): JOURNAL OF INFORMATION AND DATA MANAGEMENT; 94
Journal of Information and Data Management; Vol 4 No 2 (2013): JOURNAL OF INFORMATION AND DATA MANAGEMENT; 94
Journal of Information and Data Management; v. 4 n. 2 (2013): JOURNAL OF INFORMATION AND DATA MANAGEMENT; 94
Journal of Information and Data Management; Vol 4 No 2 (2013): JOURNAL OF INFORMATION AND DATA MANAGEMENT; 94
Journal of Information and Data Management; v. 4 n. 2 (2013): JOURNAL OF INFORMATION AND DATA MANAGEMENT; 94
Cluster analysis is the study of algorithms and techniques for grouping objects according to their intrinsic characteristics and similarity. A widely studied and popular clustering algorithm is K-Means, which is characterized by its ease of implement