Towards a machine-learning based approach for splitting cities in freight logistics context: Benchmarks of clustering and prediction models.
Jihane El OuadiNicolas MalhénéSiham BenhadouHicham MedromiPublished in: Comput. Ind. Eng. (2022)
Keyphrases
- machine learning
- prediction model
- learning algorithm
- feature selection
- predictive model
- statistical methods
- contextual information
- machine learning algorithms
- predictive clustering trees
- data mining
- models built
- predictive modeling
- machine learning methods
- complex systems
- prediction accuracy
- clustering method
- probabilistic model
- active learning
- high dimensional data
- model selection
- statistical models
- knowledge acquisition
- supervised learning
- learning tasks
- data clustering
- categorical data
- k means
- feature space
- data analysis