Clustering of Brazilian legal judgments about failures in air transport service: an evaluation of different approaches

Author:

Sabo Isabela CristinaORCID,Dal Pont Thiago RaulinoORCID,Wilton Pablo Ernesto VigneauxORCID,Rover Aires JoséORCID,Hübner Jomi FredORCID

Funder

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Publisher

Springer Science and Business Media LLC

Subject

Law,Artificial Intelligence

Reference50 articles.

1. Aggarwal CC (2018) Machine learning for text. Springer, Cham

2. Alpaydin E (2009) Introduction to machine learning, 2nd edn. MIT Press, Cambridge

3. Amorim RC, Hennig C (2015) Recovering the number of clusters in data sets with noise features using feature rescaling factors. Inf Sci 324:126–145. https://doi.org/10.1016/j.ins.2015.06.039

4. Benjamin AHV (2012) Práticas abusivas. In: Benjamin AHV, Marques CL, Bessa LR (eds) Manual de direito do consumidor. Revista dos Tribunais, São Paulo, pp 265–266

5. Brazil (1990) Code of Consumer Protection. http://www.planalto.gov.br/ccivil_03/leis/l8078compilado.htm. Accessed 1 apr 2021

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