Eduardo H. M. Pena

According to our database, Eduardo H. M. Pena authored at least 20 papers between 2013 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Discovering Similarity Inclusion Dependencies.

Youri Kaminsky, Eduardo H. M. Pena, Felix Naumann

Proc. ACM Manag. Data, 2023

Fault Detection in Transmission Lines: a Denial Constraint Approach.

Nicolas Tamalu, Leandro Augusto Ensina, Eduardo Cunha de Almeida, Eduardo Henrique Monteiro Pena, Luiz Eduardo Soares de Oliveira

Proceedings of the 38th Brazilian Symposium on Databases, 2023

Subset Modelling: A Domain Partitioning Strategy for Data-efficient Machine-Learning.

Vítor Ribeiro, Eduardo H. M. Pena, Raphael de Freitas Saldanha, Reza Akbarinia, Patrick Valduriez, Falaah Arif Khan, Julia Stoyanovich, Fábio Porto

Proceedings of the 38th Brazilian Symposium on Databases, 2023

Avaliação Experimental de Detectores de Erros em Conjuntos de Dados Relacionais.

William G. R. Medina, Eduardo H. M. Pena, Daniel S. Kaster

Proceedings of the 38th Brazilian Symposium on Databases, 2023

Projeção Eficiente de Violações de Restrições de Negação.

Leonardo F. Luciano, Wendel C. Moro, Eduardo C. de Almeida, Eduardo H. M. Pena

Proceedings of the 38th Brazilian Symposium on Databases, 2023

2022

Fast Algorithms for Denial Constraint Discovery.

Eduardo H. M. Pena, Fábio Porto, Felix Naumann

Proc. VLDB Endow., 2022

2021

Fast Detection of Denial Constraint Violations.

Eduardo H. M. Pena, Eduardo Cunha de Almeida, Felix Naumann

Proc. VLDB Endow., 2021

2020

A Framework for Analyzing the Impact of Missing Data in Predictive Models.

Fabiola Santore, Eduardo C. de Almeida, Wagner Hugo Bonat, Eduardo H. M. Pena, Luiz Eduardo Soares de Oliveira

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Efficient Detection of Data Dependency Violations.

Eduardo H. M. Pena, Edson Ramiro Lucas Filho, Eduardo C. de Almeida, Felix Naumann

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019

Discovery of Approximate (and Exact) Denial Constraints.

Eduardo H. M. Pena, Eduardo C. de Almeida, Felix Naumann

Proc. VLDB Endow., 2019

Short Paper: Descoberta automática de restrições de negação confiáveis.

Eduardo Henrique Monteiro Pena, Eduardo Cunha de Almeida

Proceedings of the 34th Brazilian Symposium on Databases, 2019

2018

Mind Your Dependencies for Semantic Query Optimization.

Eduardo H. M. Pena, Erik Falk, Jorge Augusto Meira, Eduardo Cunha de Almeida

J. Inf. Data Manag., 2018

BFASTDC: A Bitwise Algorithm for Mining Denial Constraints.

Eduardo H. M. Pena, Eduardo Cunha de Almeida

Proceedings of the Database and Expert Systems Applications, 2018

2017

Anomaly detection using the correlational paraconsistent machine with digital signatures of network segment.

Eduardo H. M. Pena, Luiz Fernando Carvalho, Sylvio Barbon Junior, Joel J. P. C. Rodrigues, Mario Lemes Proença Jr.

Inf. Sci., 2017

Uso de instâncias de dados e carga de trabalho para mineração de restrições de integridade.

Eduardo Henrique Monteiro Pena, Eduardo Cunha de Almeida

Proceedings of the XXXII Simpósio Brasileiro de Banco de Dados, 2017

2015

Statistical, forecasting and metaheuristic techniques for network anomaly detection.

Gilberto Fernandes, Eduardo H. M. Pena, Luiz Fernando Carvalho, Joel J. P. C. Rodrigues, Mario Lemes Proença Jr.

Proceedings of the 30th Annual ACM Symposium on Applied Computing, 2015

2014

Anomaly detection using digital signature of network segment with adaptive ARIMA model and Paraconsistent Logic.

Eduardo H. M. Pena, Sylvio Barbon, Joel J. P. C. Rodrigues, Mario Lemes Proença Jr.

Proceedings of the IEEE Symposium on Computers and Communications, 2014

Correlational paraconsistent machine for anomaly detection.

Eduardo H. M. Pena, Luiz Fernando Carvalho, Sylvio Barbon, Joel J. P. C. Rodrigues, Mario Lemes Proença Jr.

Proceedings of the IEEE Global Communications Conference, 2014

2013

Anomaly Detection Using Forecasting Methods ARIMA and HWDS.

Eduardo H. M. Pena, Marcos V. O. de Assis, Mario Lemes Proença Jr.

Proceedings of the 32nd International Conference of the Chilean Computer Science Society, 2013

Network Anomaly Detection by IP Flow Graph Analysis: A DDoS Attack Case Study.

Alexandre Aguiar Amaral, Leonardo de Souza Mendes, Eduardo H. M. Pena, Bruno Bogaz Zarpelão, Mario Lemes Proença Jr.

Proceedings of the 32nd International Conference of the Chilean Computer Science Society, 2013