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Cognitive data imputation : case study in maintenance cost estimationErkoyuncu, John Ahmet ...Cost estimation is critical for effective decision making in engineering projects. However, it is often hampered by a lack of sufficient data. For this, data imputation techniques can be used to ... estimate missing costs based on statistical estimates or analogies with historical data. However, these techniques are often limited because they do not consider the existing knowledge of experts. In this paper, a novel cognitive data imputation technique is proposed for cost estimation that uses explanatory interactive machine learning to integrate and improve human knowledge. Through a case study in maintenance cost estimation the effectiveness of the approach is demonstrated.Source: CIRP annals. - ISSN 0007-8506 (Vol. 72, iss. 1, 2023, str. 385-388)Type of material - article, component partPublish date - 2023Language - englishCOBISS.SI-ID - 158961155
Author
Erkoyuncu, John Ahmet |
Namoano, Bernadin |
Kozjek, Dominik |
Vrabič, Rok
Topics
artificial intelligence |
maintenance |
cost estimation |
umetna inteligenca |
vzdrževanje |
ocena stroškov
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Database name | Field | Year |
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Links to authors' personal bibliographies | Links to information on researchers in the SICRIS system |
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Erkoyuncu, John Ahmet | |
Namoano, Bernadin | |
Kozjek, Dominik | 38151 |
Vrabič, Rok | 30914 |
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