An outlier is a datum that is far from other data points in which it occurs. It can have a considerable impact on the output. Therefore, removing or resolving it before the analysis is essential to prevent skewing. Outliers in a survey sampling can have a significant outcome on statistical...

This paper examines the various multi-criteria approaches of fuzzy classification rule mining. An updated state-of-the-art multi-objective genetic algorithm is given. Further, various genetic algorithm-based fuzzy classification rule mining techniques are studied. In view of the intractability...

The importance of machine learning for social network analysis is realized as an inevitable tool in forthcoming years. This is due to the unprecedented growth of social-related data, boosted by the proliferation of social media websites and the embedded heterogeneity and complexity. Alongside...