.png){kind=icon}
.png){kind=icon}
Return
Predictive Analytics: An Optimization Perspective
.png){kind=icon}
OA
AI
DOI：10.1109/ACCESS.2024.3434617.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
Predictive analytics is concerned with making predictions of future outcomes based on past data using data statistics, machine learning, dynamic models and filtering algorithms. This paper provides a review of the theory of predictive analytics from an optimization perspective, including some new developments in convex optimization and quadratic neural networks. Several examples from many different areas show how the theory can be applied to analyze data and provide useful information to decision makers.
Keywords:
Optimization
Predictive analytics
Vectors
Convex functions
Vehicle dynamics
Support vector machines
Predictive models
Classification
neural networks
predictive analytics
regression
Journal
IF:
3.6
Papers:
9.8W
Citations:
29.4W