Global Outliers Detection in Wireless Sensor Networks: A Novel Approach Integrating Time-Series Analysis, Entropy, and Random Forest-based Classification.
Mahmood SafaeiMaha DrissWadii BoulilaElankovan A. SundararajanMitra SafaeiPublished in: CoRR (2021)
Keyphrases
- random forest
- decision trees
- fold cross validation
- feature set
- wireless sensor networks
- random forests
- cancer classification
- decision tree learning algorithms
- ensemble classifier
- feature selection
- feature importance
- feature vectors
- feature ranking
- feature extraction
- classification accuracy
- generalization ability
- machine learning
- image classification
- ensemble methods
- classification algorithm
- multi label
- benchmark datasets
- logistic regression
- machine learning algorithms
- support vector machine svm
- cost sensitive
- classification models
- ensemble learning
- training samples
- feature space
- support vector
- bayesian networks
- training data
- image processing
- decision tree learning algorithm
- genetic algorithm