IETI Transactions on Data Analysis and Forecasting (iTDAF)

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. However, a subscription to printed copies is available. Please fill in and follow the instructions in this PDF Form.