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About the Journal
Aim and Scope
IETI Transactions on Data Analysis and Forecasting (iTDAF) is a peer-reviewed open access journal that aims to publish manuscripts in all aspects of data analysis and forecasting. Research must be of high quality and context that would interest worldwide readership. This journal aims to contribute to theory and practice and bridge the gap between the academic ivory tower and the real world, making data analysis and forecasting useful for the future. The iTDAF covers all types of data analysis and forecasting, including but not limited to the following topics: big data, business, deep learning, machine learning, neural network, social sciences, sustainability, and time series; that are applied in different areas such as health, finance, economics, business, sustainability, climate change, environment, engineering and technology, management, tourism.
iTDAF is an Open Access Journal. Online readers don't have to pay any fee.
List of Topics/Keywords
- Big data analysis and forecasting
- Business data analysis and forecasting
- Climate change analysis and forecasting
- Computational social sciences and forecasting
- Computer simulation and prediction
- Data mining and deep learning
- Decision support systems
- Environment data analysis and forecasting
- Sustainability analysis forecasting
- Technology innovation analysis and forecasting
- Mathematical modeling, data analysis and business Mathematics
iTDAF is the official journal of International Engineering and Technology Institute, Romanian-American University, Science Development Foundation under the President of the Republic of Azerbaijan, Institute of National Economy- Romanian Academy, CE-MONT - Romanian Academy, and supported by China Biodiversity Conservation and Green Development Foundation.
Screening for Plagiarism/Similarity
All submissions are checked for plagiarism using iThenticate before they undergo the peer-review process.
Peer Review Process
The submitted papers should be original, unpublished, and not in consideration for publication elsewhere at the time of submission to this journal. All paper submissions will be refereed in a double-blind review process by at least two international reviewers with expertise in the relevant subject area.
Open Access Statement
This is an Open Access journal. All articles are available in PDF format immediately upon publication, free of charge and without any subscription. Any user may download, print, or copy the articles or use them for any other lawful purpose, as long as the licensing terms are respected.
Copyright Notice
Authors retain the copyright and the publishing rights for their article without any restrictions.
The submitting author warrants that the submission is original and that they are the author of the submission together with the named co-authors; to the extent the submission incorporates text passages, figures, data or other material from the work of others, the submitting author has obtained any necessary permission.
Licensing Terms
Articles in this journal are published under the Creative Commons Attribution Licence (CC-BY 4.0). This means that users may share and adapt the articles published on this website in a reasonable manner, but they must give appropriate credit of the creator and indicate the changes they have made. Furthermore, users must not apply additional restrictions, but must publish the work under the same license (CC-BY 4.0).
Archiving
This journal has an archiving agreement with Portico for longtime preservation of the content of this journal. Learn more....
Publication Frequency
iTDAF is published quarterly.
Journal History
iTDAF is published regularly since 2023.
