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Data-driven prescriptive analytics applications: A comprehensive survey
DOI:10.1016/j.is.2025.102576.png)
Abstract
En 中文
• Surveyed papers cover 10 business domains, from Healthcare to Manufacturing. • Surveyed papers use 5 method types, from machine learning to optimization. • 2 generic workflow patterns, sequential or simultaneous, dominate surveyed papers. • Very few solutions for Prescriptive Analytics on Big Data currently exist. • Data-Driven Prescriptive Analytics needs flexible and scalable methods and tools.
Keywords:
Prescriptive analytics
Survey
Application
Optimization
Machine learning
Big data
Journal
IF:
3.9
Papers:
2.8K
Citations:
1.8K
Organization
No organization information available

