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: Softw. Pract. Exp. (2022)
Keyphrases
- random forest
- decision trees
- fold cross validation
- feature set
- wireless sensor networks
- cancer classification
- classification accuracy
- decision tree learning algorithms
- random forests
- feature importance
- multi label
- ensemble classifier
- text classification
- unsupervised learning
- benchmark datasets
- ensemble learning
- support vector machine svm
- machine learning
- class labels
- base classifiers
- classification models
- ensemble methods
- machine learning methods
- machine learning algorithms
- support vector
- feature selection
- training examples
- cost sensitive
- support vector machine
- object recognition
- feature extraction
- computer vision
- classification algorithm
- logistic regression
- naive bayes
- image classification
- feature vectors
- generalization ability
- learning algorithm
- genetic algorithm