A Comparative Study for Outlier Detection Strategies Based On Traditional Machine Learning For IoT Data Analysis.

Review: Detecting Outliers with Distributions for Estimating Time Series Models.

Different Approaches for Outlier Detection in Life Testing Scenarios

.Efficiency of regression models in the presences of outliers

Simulation-Based Assessment of Classification Methods: Statistical Models vs. Machine Learning Algorithms

Robust Estimation for Beta Regression Model in the Presence of Outliers: A Comparative Study

Pattern-based Data-Classification Technique

Detecting the Probability of Fraud in Interim Financial Statements Using Machine Learning Models: Do Correla-tion-Based Analysis and Principal Component Analysis for Dimensionali

Detecting and Predicting Crimes using Data Mining Techniques: Comparative Study

The Performance of Robust Regression Estimators in Presence of Outliers