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Refinado por: Biblioteca: EESC - Esc. Engenharia de São Carlos remover data de publicação: Após 2016 remover
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1
A fast access big data approach for configurable and scalable object storage enabling mixed fault-tolerance
A fast access big data approach for configurable and scalable object storage enabling mixed fault-tolerance
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Artigo 		Adicionar ao Meu Espaço

A fast access big data approach for configurable and scalable object storage enabling mixed fault-tolerance

Carlos Roberto Valencio Andre Francisco Moielo Caetano; Angelo Cesar Colombini; Mario Luiz Tronco; Márcio Zamboti Fortes

Journal of Computer Science New York, NY, USA : Science Publications, 2017 v. 13, n. 6, p. 192-198, 2017

New York, NY, USA Science Publications 2017

Localização: EESC - Esc. Engenharia de São Carlos    (PROD-026024 )(Acessar)

2
A user-driven association rule mining based on templates for multi-relational data
A user-driven association rule mining based on templates for multi-relational data
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Artigo 		Adicionar ao Meu Espaço

A user-driven association rule mining based on templates for multi-relational data

Carlos Roberto Valencio Guilherme Henrique Morais; Angelo Cesar Colombini; Mario Luiz Tronco; Márcio Zamboti Fortes; Leandro Alves Neves; William Tenório

Journal of Computer Science New York, NY, USA : Science Publications, 2018 v. 14, n. 11, p. 1475-1487, 2018

New York, NY, USA Science Publications 2018

Localização: EESC - Esc. Engenharia de São Carlos    (PROD-026025 )(Acessar)

3
Optimization of the numeric and categorical attribute weights in KAMILA mixed data clustering algorithm
Optimization of the numeric and categorical attribute weights in KAMILA mixed data clustering algorithm
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Artigo de Congresso 		Adicionar ao Meu Espaço

Optimization of the numeric and categorical attribute weights in KAMILA mixed data clustering algorithm

Nádia Junqueira Martarelli Marcelo Seido Nagano; International Conference on Intelligent Data Engineering and Automated Learning - IDEAL (20. : 2019 : Manchester, United Kingdom)

Lecture Notes in Computer Science Cham, Switzerland : Springer, 2019 v. 11871, p. 20-27, 2019

Cham, Switzerland Springer 2019

Localização: EESC - Esc. Engenharia de São Carlos    (PROD-021858 )(Acessar)

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