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Maintenance Forecasting Model for Geographically Distributed Home Appliances Using Spatial-Temporal Networks.

, , , and . CENTERIS/ProjMAN/HCist, page 495-503. Elsevier, (2022)

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Predictive Analytics for Demand Forecasting - A Comparison of SARIMA and LSTM in Retail SCM., , , and . ISM, volume 200 of Procedia Computer Science, page 993-1003. Elsevier, (2021)Maintenance Forecasting Model for Geographically Distributed Home Appliances Using Spatial-Temporal Networks., , , and . CENTERIS/ProjMAN/HCist, page 495-503. Elsevier, (2022)Applications of Large Language Models (LLMs) in Business Analytics - Exemplary Use Cases in Data Preparation Tasks., , , , , and . HCI (53), volume 14059 of Lecture Notes in Computer Science, page 182-198. Springer, (2023)Improving Sales Prediction for Point-of-Sale Retail Using Machine Learning and Clustering., , , and . Machine Learning and Data Analytics for Solving Business Problems, Springer, (2022)Evaluating Technique for Capturing Customer Satisfaction Data in Retail Supply Chain., , , and . ICEEG, page 89-95. ACM, (2020)Design and Implementation of a Product Recommendation System with Association and Clustering Algorithms., , , , and . CENTERIS/ProjMAN/HCist, page 512-520. Elsevier, (2022)Dimensions of Data Analytics in Supply Chain Management: Objectives, Indicators and Data Questions., , , and . ICCMB, page 58-64. ACM, (2021)Applications of Big Data Analytics in Supply Chain Management: Findings from Expert Interviews., , , and . ICCMB, page 77-82. ACM, (2021)Shedding Light on the Black Box: Explainable AI for Predicting Household Appliance Failures., , , and . HCI (53), volume 14059 of Lecture Notes in Computer Science, page 69-83. Springer, (2023)