Exploring energy-saving refrigerators through online e-commerce reviews: an augmented mining model based on machine learning methods.
Yuyan LuoZheng YangYuan LiangXiaoxu ZhangHong XiaoPublished in: Kybernetes (2022)
Keyphrases
- machine learning methods
- energy saving
- machine learning
- energy consumption
- machine learning algorithms
- power consumption
- machine learning approaches
- wireless sensor networks
- ensemble methods
- save energy
- energy management
- energy efficiency
- electronic commerce
- online reviews
- global warming
- real time
- power saving
- electricity consumption
- learned knowledge
- air conditioning
- statistical methods
- prediction accuracy
- database systems
- product reviews
- carbon dioxide
- click stream
- data mining methods
- online stores
- energy efficient
- response time
- mobile devices
- decision trees
- data mining
- real world
- databases