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Data Preparation for Machine Learning and Artificial Intelligence, and Data Warehouses

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  • Genka Miteva

    (University of National and World Economy, Sofia, Bulgaria)

Abstract

Data warehouses are an already well-established system for the storage of data, which is later used for analysis, which contains data from many different sources after transforming them. They offer an opportunity to automate the data preparation process, which includes a few main steps. The data preparation process for machine learning also includes similar stages. The machine learning models need datasets with some specific characteristics. However, the similarities in these two processes facilitate the creation of a system which automates the data preparation process by expanding the data warehouse architecture.

Suggested Citation

  • Genka Miteva, 2024. "Data Preparation for Machine Learning and Artificial Intelligence, and Data Warehouses," Innovative Information Technologies for Economy Digitalization (IITED), University of National and World Economy, Sofia, Bulgaria, issue 1, pages 146-153, October.
    • Handle: RePEc:nwe:iitfed:y:2024:i:1:p:146-153
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    File URL: https://www.unwe.bg/doi/iited/2024/IITED.2024.18.pdf
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