Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Gustavo de P. Avelar"'
Publikováno v:
Anais do IX Symposium on Knowledge Discovery, Mining and Learning (KDMiLe 2021).
Anomaly Detection (AD) has grown in importance in recent years, as a result of an increasing digitalization of services and data storage, and abnormal behavior detection has become a key task. However, discovering abnormal data that is mixed with the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::99e22f1cce1db74595aa9a980a768f7d
https://doi.org/10.5753/kdmile.2021.17473
https://doi.org/10.5753/kdmile.2021.17473
Autor:
Walter Abrahão dos Santos, Gustavo de P. Avelar, Manoel Horta Ribeiro, Dorgival Guedes, Wagner Meira
Publikováno v:
Proceedings of the VLDB Endowment. 11:2070-2073
Professionals outside of the area of Computer Science have an increasing need to analyze large bodies of data. This analysis often demands high level of security and has to be done in the cloud. However, current data analysis tools that demand little
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::77d036291a8c1810dd4f713d02b265d0
https://doi.org/10.14778/3229863.3236262
https://doi.org/10.14778/3229863.3236262
Autor:
Dorgival Guedes, Atila Silva, Walter Abrahão dos Santos, Wagner Meira, Lucas M. Ponce, Gustavo de P. Avelar, Luiz F. M. Carvalho
Publikováno v:
CCGrid
2017 17th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGRID)
2017 17th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGRID)
Data Analytics is a concept related to pattern and relevant knowledge discovery from large amounts of data. In general, the task is complex and demands knowledge in very specific areas, such as massive data processing and parallel programming languag
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7e4f315e58be3536609f0628615da3ac
https://doi.org/10.1109/ccgrid.2017.142
https://doi.org/10.1109/ccgrid.2017.142