Measuring the Effectiveness of Adaptive Random Forest for Handling Concept Drift in Big Data Streams.
Abdulaziz O. Al-QabbanyAqil M. AzmiPublished in: Entropy (2021)
Keyphrases
- random forest
- big data
- concept drift
- data streams
- streaming data
- ensemble classifier
- random forests
- ensemble learning
- decision trees
- cloud computing
- feature set
- non stationary
- data management
- data processing
- data distribution
- change detection
- social media
- knowledge discovery
- data warehousing
- data analysis
- base classifiers
- business intelligence
- classification algorithm
- ensemble methods
- databases
- multi label
- remote sensing
- database
- data sets