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Computers, Volume 14, Issue 4
April 2025 - 43 articles
Cover Story: Organizations in production and logistics often face challenges in evaluating their data mining capabilities, especially during the cost-intensive data preparation phase. While maturity models exist for broader domains like data management and artificial intelligence, none is specifically addressing the data mining process. Due to the complexity of this process, the associated phases have to be evaluated in detail. This article reviews relevant maturity models, identifies key factors influencing data preparation, and introduces a prototype data preparation maturity model. This marks an initial step toward a framework for assessing and improving data mining maturity in industrial contexts. View this paper
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Computers - ISSN 2073-431X