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SafetyLit Journal Details

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IETI Transactions on Data Analysis and Forecasting (iTDAF)


Abbreviation: IETI Trans. Data Anal. Forecast.

Published by: International Association of Online Engineering

Publisher Location: Vienna, Australia

Journal Website:

Range of citations in the SafetyLit database: 2023; 1(2) -- 2023; 1(2)

Publication Date Range: 2023 --

Title began with volume (issue): 1(1)

Number of articles from this journal included in the SafetyLit database: 1
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eISSN = 2959-0442

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Journal Language(s): English

Aims and Scope (from publisher): 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.