| Anomaly detection using forecasting methods arima and hwds EHM Pena, MVO de Assis, ML Proença 2013 32nd international conference of the chilean computer science society …, 2013 | 99 | 2013 |
| Discovery of approximate (and exact) denial constraints EHM Pena, EC De Almeida, F Naumann Proceedings of the VLDB Endowment 13 (3), 266-278, 2019 | 89 | 2019 |
| Anomaly detection using digital signature of network segment with adaptive ARIMA model and Paraconsistent Logic EHM Pena, S Barbon, JJPC Rodrigues, ML Proença 2014 IEEE Symposium on Computers and Communications (ISCC), 1-6, 2014 | 39 | 2014 |
| Anomaly detection using the correlational paraconsistent machine with digital signatures of network segment EHM Pena, LF Carvalho, S Barbon Jr, JJPC Rodrigues, ML Proença Jr Information Sciences 420, 313-328, 2017 | 37 | 2017 |
| BFASTDC: A bitwise algorithm for mining denial constraints EHM Pena, EC de Almeida Database and Expert Systems Applications: 29th International Conference …, 2018 | 18 | 2018 |
| Discovering similarity inclusion dependencies Y Kaminsky, EHM Pena, F Naumann Proceedings of the ACM on Management of Data 1 (1), 1-24, 2023 | 17 | 2023 |
| Fast detection of denial constraint violations EHM Pena, EC de Almeida, F Naumann Proceedings of the VLDB Endowment 15 (4), 859-871, 2021 | 15 | 2021 |
| Efficient detection of data dependency violations EHM Pena, ER Lucas Filho, EC de Almeida, F Naumann Proceedings of the 29th ACM International Conference on Information …, 2020 | 11 | 2020 |
| Fast Algorithms for Denial Constraint Discovery EHM Pena, F Porto, F Naumann Proceedings of the VLDB Endowment 16 (4), 684-696, 2022 | 10 | 2022 |
| Correlational paraconsistent machine for anomaly detection EHM Pena, LF Carvalho, S Barbon, JJPC Rodrigues, ML Proença 2014 IEEE global communications conference, 551-556, 2014 | 8 | 2014 |
| Mind your dependencies for semantic query optimization E Pena, EHM Pena, E Falk, JA Meira, EC de Almeida Journal of Information and Data Management 9 (1), 3-3, 2018 | 7 | 2018 |
| Statistical, forecasting and metaheuristic techniques for network anomaly detection G Fernandes, EHM Pena, LF Carvalho, JJPC Rodrigues, ML Proença Jr Proceedings of the 30th Annual ACM Symposium on Applied Computing, 701-707, 2015 | 7 | 2015 |
| A framework for analyzing the impact of missing data in predictive models F Santore, EC Almeida, WH Bonat, EHM Pena, LES de Oliveira Proceedings of the 29th ACM International Conference on Information …, 2020 | 6 | 2020 |
| Zonal statistics datasets of climate indicators for Brazilian municipalities R Saldanha, R Akbarinia, M Pedroso, V Ribeiro, C Cardoso, EHM Pena, ... Environmental Data Science 3, e2, 2024 | 3 | 2024 |
| Subset Modelling: A Domain Partitioning Strategy for Data-efficient Machine-Learning V Ribeiro, EHM Pena, R Saldanha, R Akbarinia, P Valduriez, FA Khan, ... Anais do XXXVIII Simpósio Brasileiro de Bancos de Dados, 318-323, 2023 | 2 | 2023 |
| Short Paper: Descoberta automática de restrições de negação confiáveis EHM Pena, EC de Almeida Anais do XXXIV Simpósio Brasileiro de Banco de Dados, 187-192, 2019 | 2 | 2019 |
| Workload-Aware Discovery of Integrity Constraints for Data Cleaning. E Peña PhD@ VLDB, 2018 | 2 | 2018 |
| Network anomaly detection by IP flow graph analysis: A DDoS attack case study AA Amaral, LS Mendes, EHM Pena, BB Zarpelão, ML Proença 2013 32nd International Conference of the Chilean Computer Science Society …, 2013 | 2 | 2013 |
| Subset Models for Multivariate Time Series Forecast R Saldanha, V Ribeiro, EHM Pena, M Pedroso, R Akbarinia, P Valduriez, ... 2024 IEEE 40th International Conference on Data Engineering Workshops (ICDEW …, 2024 | 1 | 2024 |
| Uso de instâncias de dados e carga de trabalho para mineraçao de restriçoes de integridade EHM Pena, EC de Almeida Anais do XXXII Simpósio Brasileiro de Bancos de Dados, 312-317, 2017 | 1 | 2017 |
Eduardo Cunha de AlmeidaFederal University of ParanáVerified email at inf.ufpr.br
