Zobrazeno 1 - 10
of 40
pro vyhledávání: '"Roger Dev"'
Autor:
Murtadha D. Hssayeni, Arjuna Chala, Roger Dev, Lili Xu, Jesse Shaw, Borko Furht, Behnaz Ghoraani
Publikováno v:
Journal of Big Data, Vol 8, Iss 1, Pp 1-16 (2021)
Abstract The early detection of the coronavirus disease 2019 (COVID-19) outbreak is important to save people’s lives and restart the economy quickly and safely. People’s social behavior, reflected in their mobility data, plays a major role in spr
Externí odkaz:
https://doaj.org/article/9732286aab0f4a76be77312a31a8f995
Autor:
Flavio Villanustre, Arjuna Chala, Roger Dev, Lili Xu, Jesse Shaw LexisNexis, Borko Furht, Taghi Khoshgoftaar
Publikováno v:
Journal of Big Data, Vol 8, Iss 1, Pp 1-24 (2021)
Abstract This project is funded by the US National Science Foundation (NSF) through their NSF RAPID program under the title “Modeling Corona Spread Using Big Data Analytics.” The project is a joint effort between the Department of Computer & Elec
Externí odkaz:
https://doaj.org/article/e1377e9010cc4cc4bc738608ea59f001
Publikováno v:
2021 International Conference on Recent Trends on Electronics, Information, Communication & Technology (RTEICT).
Density-based spatial clustering of data with noise (DBSCAN) is a popular clustering algorithm that groups data points which are close together using two parameters eps - which is the radius of each cluster, and Minpts, which is the minimum number of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::713da1711563795d3269d2bf32db9e17
https://doi.org/10.1109/rteict52294.2021.9573728
https://doi.org/10.1109/rteict52294.2021.9573728
Autor:
Lili Xu, Roger Dev, Murtadha D. Hssayeni, Borko Furht, Behnaz Ghoraani, Jesse C P B Shaw, Arjuna Chala
Publikováno v:
Journal of Big Data
Journal of Big Data, Vol 8, Iss 1, Pp 1-16 (2021)
Journal of Big Data, Vol 8, Iss 1, Pp 1-16 (2021)
The early detection of the coronavirus disease 2019 (COVID-19) outbreak is important to save people’s lives and restart the economy quickly and safely. People’s social behavior, reflected in their mobility data, plays a major role in spreading th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c54b9b8448744914e234faddd44ddaf7
https://doi.org/10.1186/s40537-021-00491-1
https://doi.org/10.1186/s40537-021-00491-1
HPCC systems, an open source cluster computing platform for big data analytics consists of generalized neural network bundle with a wide variety of features which can be used for various neural network applications. To enhance the functionality of th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::baa60f28be386e8b60f6f4af858b3d08
https://zenodo.org/record/6951208
https://zenodo.org/record/6951208
Autor:
Jesse Shaw LexisNexis, Flavio Villanustre, Borko Furht, Arjuna Chala, Taghi M. Khoshgoftaar, Lili Xu, Roger Dev
Publikováno v:
Journal of Big Data, Vol 8, Iss 1, Pp 1-24 (2021)
Journal of Big Data
Journal of Big Data
This project is funded by the US National Science Foundation (NSF) through their NSF RAPID program under the title “Modeling Corona Spread Using Big Data Analytics.” The project is a joint effort between the Department of Computer & Electrical En
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::830bfd7a8b9b4874a56a2f2af39548dd
https://doi.org/10.1186/s40537-021-00423-z
https://doi.org/10.1186/s40537-021-00423-z
Publikováno v:
IEEE BigData
Insights from public companies’ financial filings are necessary for securities analysts and investors to make the right investment decisions. Synthesizing salient facts from such filings is a complex language task, especially now as the data volume
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0d8e7e9a51a5027d6fd7f80832e11298
https://doi.org/10.1109/bigdata50022.2020.9378388
https://doi.org/10.1109/bigdata50022.2020.9378388
Publikováno v:
2019 4th International Conference on Computational Systems and Information Technology for Sustainable Solution (CSITSS).
Clustering algorithms are an important part of unsupervised machine learning. With Big Data, applying clustering algorithms such as KMeans has become a challenge due to the significantly larger volume of data and the computational complexity of the s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b515a01971516a78ec9ac8b3143988c5
https://doi.org/10.1109/csitss47250.2019.9031047
https://doi.org/10.1109/csitss47250.2019.9031047
Publikováno v:
2019 4th International Conference on Computational Systems and Information Technology for Sustainable Solution (CSITSS).
The HPCC Systems Production Machine Learning bundles provide a diverse set of features that allow the parallelized creation and training of Machine learning models and a large set of evaluation metrics that can be used to test the trained model to as
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d45ab28f2f72347de600c6fe120c89ad
https://doi.org/10.1109/csitss47250.2019.9031056
https://doi.org/10.1109/csitss47250.2019.9031056