Pairwise Constrained Clustering and Robust Regression: A Case Study on French Enterprise Activities and Expenses Data

Ines Akaichi, Patrice Wislez

2021 International Conference of Women in Data Science at Taif University (WiDSTaif )(2021)

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摘要
Argedis, a subsidiary of Total France in charge of the management and operation of part of its network of service stations. Argedis seeks to better control its expenses and its annual budget by modeling the station loads using regression models. The company believes that the service stations have different profiles depending on the type of activity, which has an impact on the level of expenses. To...
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关键词
Measurement,Clustering algorithms,Companies,Predictive models,Data science,Prediction algorithms,Data models
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