Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Areti Karamanou"'
Publikováno v:
Technologies, Vol 12, Iss 8, p 128 (2024)
In the rapidly evolving field of real estate economics, the prediction of house prices continues to be a complex challenge, intricately tied to a multitude of socio-economic factors. Traditional predictive models often overlook spatial interdependenc
Externí odkaz:
https://doaj.org/article/0ea7117827e34775af0c184c4ce3515b
Publikováno v:
Data in Brief, Vol 46, Iss , Pp 108779- (2023)
Open Government Data (OGD), including statistical data, such as economic, environmental and social indicators, are data published by the public sector for free reuse. These data have a huge potential when exploited using Machine Learning methods. Lin
Externí odkaz:
https://doaj.org/article/85b714817d4149999e86215428988386
Publikováno v:
Information, Vol 14, Iss 4, p 228 (2023)
Traffic forecasting has been an important area of research for several decades, with significant implications for urban traffic planning, management, and control. In recent years, deep-learning models, such as graph neural networks (GNN), have shown
Externí odkaz:
https://doaj.org/article/bf41d2d67591445eb3e0682c7a42e134
Exploring the Quality of Dynamic Open Government Data Using Statistical and Machine Learning Methods
Publikováno v:
Sensors, Vol 22, Iss 24, p 9684 (2022)
Dynamic data (including environmental, traffic, and sensor data) were recently recognized as an important part of Open Government Data (OGD). Although these data are of vital importance in the development of data intelligence applications, such as bu
Externí odkaz:
https://doaj.org/article/30447ad4dec14f438558145ccc7fb860
Publikováno v:
Information, Vol 10, Iss 8, p 249 (2019)
An important part of Open Data is of a statistical nature and describes economic and social indicators monitoring population size, inflation, trade, and employment. Combining and analyzing Open Data from multiple datasets and sources enable the perfo
Externí odkaz:
https://doaj.org/article/d0b58e428ab64d9fab03e5d150ededc2
Publikováno v:
Journal of Intelligent Information Systems. 59:479-500
Publikováno v:
Proceedings of the 26th Pan-Hellenic Conference on Informatics.
Exploring the Quality of Dynamic Open Government Data Using Statistical and Machine Learning Methods
Publikováno v:
Sensors; Volume 22; Issue 24; Pages: 9684
Dynamic data (including environmental, traffic, and sensor data) were recently recognized as an important part of Open Government Data (OGD). Although these data are of vital importance in the development of data intelligence applications, such as bu
Publikováno v:
Data in brief. 46
Open Government Data (OGD), including statistical data, such as economic, environmental and social indicators, are data published by the public sector for free reuse. These data have a huge potential when exploited using Machine Learning methods. Lin
Publikováno v:
SSRN Electronic Journal.