LexisNexis

Research output

Research output per year 2016 2016 2017 2018 2023

• 7 Conference contribution
• 6 Book
• 6 Article
• 2 Chapter
• 4 More
  • 2 Paper
  • 2 Software

Research output per year

Research output per year

Search results

• 2023

  Monitoramento de Logs da Platforma HPCC Systems em Cloud

  Ribas, N. G., Oliveria, A., Watanuki, H. & Plenz, P., 2023.

  Research output: Contribution to conference › Paper › peer-review
• 2021

  Análise massiva de dados na gestão pública: Uma proposta para identificação de outliers no cadastro de imóveis da prefeitura de São Paulo: Análise massiva de dados na gestão pública: Uma proposta para identificação de outliers no cadastro de imóveis da prefeitura de São Paulo

  Silva, L. F. C., Moraes, R. D. O., Watanuki, H. & da Silva, L. R., 2021, In: “Contribuições da Engenharia de Produção para a Gestão de Operações Energéticas Sustentáveis.

  Research output: Contribution to journal › Article › peer-review

• BIG DATA E REGRESSÃO LOGÍSTICA APLICADOS À ANÁLISE DE PEDIDOS DE EMPRÉSTIMO

  Bravo, A. F., Moraes, R. D. O. & Watanuki, H., 2021.

  Research output: Contribution to conference › Paper › peer-review

• Orquestração de Aplicações de Computação de Alta Performance em Ambientes Cloud Conteinerizados

  Varella, L., Plentz, P., Watanuki, H. & Baruchi, A., Apr 15 2021, In: ANAIS DA ESCOLA REGIONAL DE ALTO DESEMPENHO DA REGIÃO SUL (ERAD-RS). 4 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access
• 2020

  Survey on RNN and CRF models for de-identification of medical free text

  Leevy, J., Khoshgoftaar, T. & Villanustre, F., 2020, In: Journal of Big Data.

  Research output: Contribution to journal › Article › peer-review

  Open Access
  3 Scopus citations
• 2019

  Data Skew Profiling using HPCC Systems

  Mishra, H., Jayant, S., Chala, A., Camper, D., Shobha, G. & Shetty, J., Mar 30 2019, ICBDE 2019 - 2019 International Conference on Big Data and Education. p. 66-69 4 p. (ACM International Conference Proceeding Series).

  Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

  • Data Skew 100%
  • High-speed Counter-current Chromatography (HSCCC) 100%
  • Data Distribution 100%
  • Big Data 100%
  • Big Data Analysis 33%

• Design and Development of IoT Plugin for HPCC Systems

  Kashi, A. V., Jakaraddi, M., Shetty, J., Chala, A. & Camper, D., May 10 2019, 2019 4th IEEE International Conference on Big Data Analytics, ICBDA 2019. p. 158-162 5 p. 8713225. (2019 4th IEEE International Conference on Big Data Analytics, ICBDA 2019).

  Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

  • High-speed Counter-current Chromatography (HSCCC) 100%
  • Internet of Things 100%
  • Big Data 33%
  • System Platform 33%
  • Big Data Approach 33%
  4 Scopus citations
• 2018

  Data Skewer Profile

  Villanustre, F. (Other), 2018

  Research output: Non-textual form › Software

  • Skewer 100%
  • Data Skew 100%
  • Single Node 50%
  • Execution Graphs 50%

• Finding better active learners for faster literature reviews

  Menzies, T., Jan 1 2018, In: Empirical Software Engineering.

  Research output: Contribution to journal › Article › peer-review

  • Evidence-based Medicine 100%
  • Refactoring 100%
  • Electronic Discovery 100%
  • Active Learning Methods 100%
  • Fast Techniques 100%
  14 Scopus citations

• How to be rich: a study of monsters and mice of american industry

  Yu, Z. & Menzies, T., 2018, HPCC Systems.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

• Roxie Software

  Villanustre, F. (Photographer), Jun 10 2018

  Research output: Non-textual form › Software

  • T-system 100%
• 2017

  A sentiment-change-driven event discovery system

  Zhang, L., Xie, Y. & Liu, G., 2017, Proceedings of the International Conference on Web Intelligence.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

• ECL-watch: A big data application performance tuning tool in the HPCC systems platform

  Xu, L., Muharemagc, E. & Apon, A., 2017, IEEE International Conference.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
  4 Scopus citations

• Large-scale distributed L-BFGS

  Najafabadi, M. M., Koshgoftaar, T. M., Villanustre, F. & Holt, J., 2017, In: Journal of Big Data.

  Research output: Contribution to journal › Article › peer-review
  12 Scopus citations

• Representativeness of latent dirichlet allocation topics estimated from data samples with application to common crawl

  Du, Y., Herzog, A., Luckow, A., Nerella, R., Gropp, C. & Apon, A., 2017, 2017 IEEE International Conference.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • Representativeness 100%
  • Latent Dirichlet Allocation 100%
  • Common Crawl 100%
  • Amazon 100%
  • Random Sampling 100%

• Trilogy: Data placement to improve performance and robustness of cloud computing

  Hsu, C.-J., Freeh, V. W. & Villanustre, F., 2017, In: IEEE Software.

  Research output: Contribution to journal › Article › peer-review

  • Cloud Computing 100%
  • Performance Improvement 100%
  • Underutilization 100%
  • Data Placement 100%
  • Data Replication 100%
  3 Scopus citations

• Unsupervised deep kernel for high dimensional data

  Xie, Y., Hao, J. & Le, L., 2017, International Joint Conference on Neural Networks.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
  3 Scopus citations
• 2016

  Big Data Technologies and Applications

  Furht, B. & Villanustre, F., 2016

  Research output: Book/Report › Book › peer-review

• Deep Learning Techniques in Big Data Analytics. In: Big Data Technologies and Applications

  Najafabadi, M. M., Villanustre, F., Koshgoftaar, T. M., Seliya, N., Wald, R. & Muharemagc, E., 2016

  Research output: Book/Report › Book › peer-review

• Introduction to Big Data. In: Big Data Technologies and Applications

  Furht, B. & Villanustre, F., 2016

  Research output: Book/Report › Book › peer-review

• Modeling Ebola Spread and Using HPCC/KEL System. In: Big Data Technologies and Applications.

  Shaw, J., Villanustre, F., Agarwal, A. & Jain, A., 2016

  Research output: Book/Report › Book › peer-review

• Social Network Analytics: Hidden and Complex Fraud Schemes. In: Big Data Technologies and Applications.

  Villanustre, F. & Furht, B., 2016

  Research output: Book/Report › Book › peer-review

• The "BigSE" project: lessons learned from validating industrial text mining

  Krishna, R., Yu, Z., Agrawal, A., Dominguez, M. & Wolf, D., 2016, BIGDSE '16 Proceedings of the 2nd International Workshop on BIG Data Software Engineering .

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • Text Mining 100%
  • Lessons Learned 100%
  • Project Lessons 100%
  • Data Miner 100%
  • Industrial Data 100%
  5 Scopus citations

• The HPCC/ECL Platform for Big Data. In: Big Data Technologies and Applications

  Middleton, A. M., Bayliss, D. A., Furht, B., Halliday, G. & Chala, A., 2016

  Research output: Book/Report › Book › peer-review

• Visualization of big high dimensional data in a three dimensional space

  Xie, Y., Chenna, P., Le, L. & He, J., 2016, The 3rd IEEE/ACM International Conference on Big Data Computing, Applications and Technologies.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
  2 Scopus citations