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Toward A Lifecycle for Data Science: A Literature Review of Data Science Process Models., , , , and . PACIS, page 242. (2022)Determining Potential Failures and Challenges in Data Driven Endeavors: A Real World Case Study Analysis., , , , , , , and . IoTBDS, page 453-460. SCITEPRESS, (2020)A Modernized Model for Performance Requirements and Their Interdependencies., , , , and . AICCSA, page 1-8. IEEE Computer Society, (2019)Toward Adaptive Manufacturing: Scheduling Problems in the Context of Industry 4.0., , , and . ES, page 108-115. IEEE, (2018)Methodology for Self-Adaptively Solving Multi-Objective Scheduling Problems.. Otto-von-Guericke University Magdeburg, Germany, (2024)Proof of Provision: Improving Blockchain Technology by Cloud Computing., , , and . CLOSER, page 523-527. SciTePress, (2019)A Holistic View of the Server Consolidation and Virtual Machines Placement Problems., , , , and . SITIS, page 327-334. IEEE, (2019)An adaptive scheduling framework for the dynamic virtual machines placement to reduce energy consumption in cloud data centers., , and . HICSS, page 1-10. ScholarSpace, (2021)On the Integration of Google Cloud and SAP HANA for Adaptive Supply Chain in Retailing., , , , , , , and . ISM, volume 217 of Procedia Computer Science, page 1857-1866. Elsevier, (2023)NeuroEvolution of augmenting topologies for solving a two-stage hybrid flow shop scheduling problem: A comparison of different solution strategies., , , , and . Expert Syst. Appl., (2021)