Optimal Decision Trees for the Algorithm Selection Problem: Integer Programming Based Approaches

Autor: Boas, Matheus Guedes Vilas, Santos, Haroldo Gambini, Merschmann, Luiz Henrique de Campos, Berghe, Greet Vanden

Even though it is well known that for most relevant computational problems different algorithms may perform better on different classes of problem instances, most researchers still focus on determining a single best algorithmic configuration based on

Externí odkaz: http://arxiv.org/abs/1907.02211

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HCAIM: A Discretizer for the Hierarchical Classification Scenario Applied to Bioinformatics Datasets

Autor: Guandaline, Valter Hugo, Merschmann, Luiz Henrique de Campos

Publikováno v: Journal of Information and Data Management; v. 8, n. 2 (2017): JOURNAL OF INFORMATION AND DATA MANAGEMENT; 146
Journal of Information and Data Management; Vol 8 No 2 (2017): JOURNAL OF INFORMATION AND DATA MANAGEMENT; 146
Journal of Information and Data Management; v. 8 n. 2 (2017): JOURNAL OF INFORMATION AND DATA MANAGEMENT; 146

Discretization is one of the stages of data preprocessing that has been the subject of research in several works related to flat classification. Despite the importance of data discretization for a classification task, to the best of our knowledge, wh

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::8f5f50829f0cec1e22fa341055dd1b61
https://seer.ufmg.br/index.php/jidm/article/view/4368

Editorial

Autor: Traina Junior, Caetano, F. Cordeiro, Robson L., Merschmann, Luiz Henrique de Campos

Publikováno v: Journal of Information and Data Management; v. 8, n. 2 (2017): JOURNAL OF INFORMATION AND DATA MANAGEMENT; 100

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=temporalidad::da46d7e158182556ff2e046e751783a3
https://seer.ufmg.br/index.php/jidm/article/view/9785

HiSP-GC : a classification method based on probabilistic analysis of patterns

Autor: Merschmann, Luiz Henrique de Campos, Plastino, Alexandre

Publikováno v: Repositório Institucional da UFOP
Universidade Federal de Ouro Preto (UFOP)
instacron:UFOP

Classification is one of the most important tasks in data mining and, nowadays, has been applied to solve problems related to different areas, such as administration, finance, education, health and others. Therefore, the construction of precise and c

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______3056::3e18a7da43de46e730d1f5b328f57ee8
http://www.repositorio.ufop.br/handle/123456789/4398