ISSN:
eISSN:
Publisher:
Disciplines
(Field of Science):
- ethnology and cultural anthropology (Humanities)
- automation, electronics, electrical engineering and space technologies (Engineering and Technology)
- information and communication technology (Engineering and Technology)
- biomedical engineering (Engineering and Technology)
- civil engineering, geodesy and transport (Engineering and Technology)
- materials engineering (Engineering and Technology)
- environmental engineering, mining and energy (Engineering and Technology)
- medical biology (Medical and Health Sciences )
- pharmacology and pharmacy (Medical and Health Sciences )
- family studies (Family studies)
- socio-economic geography and spatial management (Social studies)
- management and quality studies (Social studies)
- law (Social studies)
- international relations (Social studies)
- biotechnology (Natural sciences)
- computer and information sciences (Natural sciences)
- mathematics (Natural sciences)
- biological sciences (Natural sciences)
- physical sciences (Natural sciences)
(Field of Science)
Ministry points: Help
Year | Points | List |
---|---|---|
Year 2024 | 70 | Ministry scored journals list 2024 |
Year | Points | List |
---|---|---|
2024 | 70 | Ministry scored journals list 2024 |
2023 | 70 | Ministry Scored Journals List |
2022 | 70 | Ministry Scored Journals List 2019-2022 |
2021 | 70 | Ministry Scored Journals List 2019-2022 |
2020 | 70 | Ministry Scored Journals List 2019-2022 |
2019 | 70 | Ministry Scored Journals List 2019-2022 |
2018 | 35 | A |
2017 | 35 | A |
2016 | 35 | A |
2015 | 30 | A |
2014 | 30 | A |
2013 | 30 | A |
2012 | 30 | A |
2011 | 30 | A |
2010 | 32 | A |
Model:
Points CiteScore:
Year | Points |
---|---|
Year 2022 | 4.4 |
Year | Points |
---|---|
2022 | 4.4 |
2021 | 3.5 |
2020 | 3.3 |
2019 | 3.2 |
2018 | 2.7 |
2017 | 3.1 |
2016 | 3.7 |
2015 | 3 |
2014 | 2.2 |
2013 | 2.5 |
2012 | 1.9 |
2011 | 1.6 |
Impact Factor:
Sherpa Romeo:
Papers published in journal
Filters
total: 4
Catalog Journals
-
Review of the Complexity of Managing Big Data of the Internet of Things
PublicationTere is a growing awareness that the complexity of managing Big Data is one of the main challenges in the developing feld of the Internet of Tings (IoT). Complexity arises from several aspects of the Big Data life cycle, such as gathering data, storing them onto cloud servers, cleaning and integrating the data, a process involving the last advances in ontologies, such as Extensible Markup Language (XML) and Resource Description...
-
An Approach to Data Reduction for Learning from Big Datasets: Integrating Stacking, Rotation, and Agent Population Learning Techniques
Publication -
Overcoming “Big Data” Barriers in Machine Learning Techniques for the Real-Life Applications
Publication -
Advances in Architectures, Big Data, and Machine Learning Techniques for Complex Internet of Things Systems
PublicationTe feld of Big Data is rapidly developing with a lot of ongoing research, which will likely continue to expand in the future. A crucial part of this is Knowledge Discovery from Data (KDD), also known as the Knowledge Discovery Process (KDP). Tis process is a very complex procedure, and for that reason it is essential to divide it into several steps (Figure 1). Some authors use fve steps to describe this procedure, whereas others...
seen 505 times