Analysis of outlier detection on structured data

Abstract

Outlier detection has played an important role in all research areas for data analysis in various domains. Outlier is involved according to human error, sensors or mechanical faults and environment. It is detected to get data quality for all applications. On the other hand the good outliers can occur by chance in new contributions in research.The aim of this study is to discover new trend with outlier in dataset. The problem statement is how to detect the outlier analysis based on different datasets between before and after removing outlier. In this system, a box and whisker plot and the robust J48 algorithm are applied for outlier detection and classification.