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1
Bringing AGM to computer science
Bringing AGM to computer science
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Bringing AGM to computer science

Renata Wassermann Márcio Moretto Ribeiro

South American Journal of Logic Campinas v. 1, n. 2, p. 447-459, 2015

Campinas 2015

Acesso online. A biblioteca também possui exemplares impressos.

2
Solving the problem of selecting suitable objective measures by clustering association rules through the measures themselves
Solving the problem of selecting suitable objective measures by clustering association rules through the measures themselves
Material Type:
Artigo de Congresso 		Adicionar ao Meu Espaço

Solving the problem of selecting suitable objective measures by clustering association rules through the measures themselves

Veronica Oliveira de Carvalho Renan de Padua; Solange Oliveira Rezende; International Conference on Current Trends in Theory and Practice of Computer Science - SOFSEM (42. 2016 Harrachov)

Lecture Notes in Computer Science Berlin : Springer-Verlag v. 9587, p. 505-517, 2016

Berlin Springer-Verlag 2016

Localização: ICMC - Inst. Ciên. Mat. Computação    (PROD-2750407 )(Acessar)

3
Post-processing association rules a network based label propagation approach
Post-processing association rules a network based label propagation approach
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Post-processing association rules a network based label propagation approach

Renan de Padua Veronica Oliveira de Carvalho; Solange Oliveira Rezende; International Conference on Current Trends in Theory and Practice of Computer Science - SOFSEM (42. 2016 Harrachov)

Lecture Notes in Computer Science Berlin : Springer-Verlag v. 9587, p. 580-591, 2016

Berlin Springer-Verlag 2016

Localização: ICMC - Inst. Ciên. Mat. Computação    (PROD 2750399 )(Acessar)

4
Automatic Design of Decision-Tree Induction Algorithms
Automatic Design of Decision-Tree Induction Algorithms
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Automatic Design of Decision-Tree Induction Algorithms

Rodrigo C. Barros André C. P. L. F de Carvalho; Alex A Freitas

Springer International Publishing 2015

Acesso online. A biblioteca também possui exemplares impressos.

5
A distributed approach to flood prediction using a WSN and ML a comparative study of ml techniques in a WSN deployed in Brazil
A distributed approach to flood prediction using a WSN and ML a comparative study of ml techniques in a WSN deployed in Brazil
Material Type:
Artigo de Congresso 		Adicionar ao Meu Espaço

A distributed approach to flood prediction using a WSN and ML a comparative study of ml techniques in a WSN deployed in Brazil

Gustavo Furquim (Gustavo Antonio Furquim) Gustavo Pessin; Pedro H Gomes (Pedro Henrique Gomes); Eduardo Mario Mendiondo; Jó Ueyama; International Conference Intelligent Data Engineering and Automated Learning – IDEAL (16. 2015 Wroclaw, Poland

Lecture Notes in Computer Science Cham : Springer, 2015

Cham Springer 2015

Localização: ICMC - Inst. Ciên. Mat. Computação    (PROD 2803570 )(Acessar)

6
Improving multivariate data streams clustering
Improving multivariate data streams clustering
Material Type:
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Improving multivariate data streams clustering

Christian Cesar Bones Luciana A. S Romani; Elaine Parros Machado de Sousa; International Conference on Computational Science - ICCS (2016 San Diego)

Procedia Computer Science Amsterdam : Elsevier v. 80, p. 461-471, 2016

Amsterdam Elsevier 2016

Localização: ICMC - Inst. Ciên. Mat. Computação    (PROD-2764675 )(Acessar)

7
Faster cloud star joins with reduced disk spill and network communication
Faster cloud star joins with reduced disk spill and network communication
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Faster cloud star joins with reduced disk spill and network communication

Jaqueline Joice Brito Thiago Mosqueiro; Ricardo Rodrigues Ciferri; Cristina Dutra de Aguiar Ciferri; International Conference on Computational Science - ICCS (2016 San Diego)

Procedia Computer Science Amsterdam : Elsevier v. 80, p. 74-85, 2016

Amsterdam Elsevier 2016

Localização: ICMC - Inst. Ciên. Mat. Computação    (PROD-2772189 )(Acessar)

8
Efficient BSP/CGM algorithms for the maximum subsequence sum and related problems
Efficient BSP/CGM algorithms for the maximum subsequence sum and related problems
Material Type:
Artigo de Congresso 		Adicionar ao Meu Espaço

Efficient BSP/CGM algorithms for the maximum subsequence sum and related problems

Anderson C Lima Rodrigo G Branco; Edson Norberto Cáceres; Roussian R. A Gaioso; Samuel Ferraz; Siang Wun Song; Wellington S Martins; International Conference On Computational Science - ICCS (15. 2015 Reykjavík)

Procedia Computer Science Amsterdam v. 51, p. 2754–2758, 2015

Amsterdam 2015

Localização: IME - Inst. Matemática e Estatística    (PROD-2714796 )(Acessar)

9
Permutation-based recombination operator to node-depth encoding
Permutation-based recombination operator to node-depth encoding
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Permutation-based recombination operator to node-depth encoding

Telma Woerle de Lima (Telma Woerle de Lima Soares) Alexandre Cláudio Botazzo Delbem; Roney Lopes Lima; Gustavo Post Sabin; Marcos Antônio Almeida de Oliveira; International Conference On Computational Science - ICCS 2016 (16. 2016 San Diego, California, U.S.A.)

Procedia Computer Science Amsterdam : Elsevier v. 80, p. 279-288, 2016

Amsterdam Elsevier 2016

Localização: ICMC - Inst. Ciên. Mat. Computação    (PROD 2762121 )(Acessar)

10
A multi-objective evolutionary algorithm with efficient data structure and heuristic initialization for fault service restoration
A multi-objective evolutionary algorithm with efficient data structure and heuristic initialization for fault service restoration
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A multi-objective evolutionary algorithm with efficient data structure and heuristic initialization for fault service restoration

Marcos H. M. Camillo (Marcos Henrique Marçal Camillo) Marcel E. V Romero (Marcel Eduardo Viotto Romero); Rodrigo Z Fanucchi (Rodrigo Zempulski Fanucchi); Telma Woerle de Lima (Telma Woerle de Lima Soares); Anderson da Silva Soares; João Bosco Augusto London Junior; Alexandre Cláudio Botazzo Delbem; Leandro Tolomeu Marques; Carlos Dias Maciel; International Conference on Computational Science - ICCS 2016 (16. 2016 San Diego, California, U.S.A.)

Procedia Computer Science Amsterdam : Elsevier v. 80, p. 2367-2371, 2016

Amsterdam Elsevier 2016

Localização: EESC - Esc. Engenharia de São Carlos    (PROD-019531 ) e outros locais(Acessar)

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