Zobrazeno 1 - 10
of 66
pro vyhledávání: '"Vinicius M. A. Souza"'
Publikováno v:
Data Science Journal, Vol 23, Pp 25-25 (2024)
Malaria is an infectious disease caused by the Plasmodium parasite transmitted to humans by the bite of infected female Anopheles mosquitoes. The disease remains a major cause of child mortality globally and caused more than 600,000 deaths in 85 coun
Externí odkaz:
https://doaj.org/article/27244eaad7e94232976682fb2f32df71
Publikováno v:
IEEE Access, Vol 10, Pp 78022-78043 (2022)
The rapid advance of scientific research in data mining has led to the adaptation of conventional pattern extraction methods to the context of time series analysis. The forecasting (or prediction) task has been supported mainly by regression algorith
Externí odkaz:
https://doaj.org/article/f40b41051e6c4107a2e7042d4a935df1
Publikováno v:
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining.
Publikováno v:
Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP
Universidade de São Paulo (USP)
instacron:USP
Stream mining considers the online arrival of examples at high speed and the possibility of changes in its descriptive features or class definitions compared with past knowledge (i.e., concept drifts). The fast detection of drifts is essential to kee
Publikováno v:
2021 IEEE International Conference on Data Mining (ICDM).
Publikováno v:
Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP
Universidade de São Paulo (USP)
instacron:USP
The choice of the most promising algorithm to model and predict a particular phenomenon is one of the most prominent activities of the temporal data forecasting. Forecasting (or prediction), similarly to other data mining tasks , uses empirical evide
Publikováno v:
Pervasive and Mobile Computing. 51:121-137
Modern smartphones have a large variety of built-in sensors that can measure different information about users and the environment around them. Given the increasing popularity of these devices, their high processing power, and the ability to transfer
Autor:
Vinicius M. A. Souza, Indrė Žliobaitė, Antonio Rafael Sabino Parmezan, Gustavo E. A. P. A. Batista
Publikováno v:
Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP
Universidade de São Paulo (USP)
instacron:USP
We study how the behavior and wing-beat frequency of hymenopteran flying insects depend on environmental conditions, such as temperature and relative humidity. We use flight data from seven bee species and two wasp species collected in Brazil in a co
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::18f959da91391ca20138dacb38660d0e
Publikováno v:
Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP
Universidade de São Paulo (USP)
instacron:USP
Applications that need to sense, measure, and gather real-time information from the environment frequently face three main restrictions: power consumption, cost, and lack of infrastructure. Most of the challenges imposed by these limitations can be b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::78c2617a0f19e6eedec39ae95bc57c24
Publikováno v:
IEEE BigData
Changes in data distribution of streaming data (i.e., concept drifts), constitute a central issue in online data mining. The main reason is that these changes are responsible for outdating stream learning models, reducing their predictive performance