Outlier detection, removal, and analysis are important steps in any data cleansing process
under an application. Many log files and records generated and at the same time, it
becomes important to remove outlier which is irrelevant in the dataset. It is a data or object
which is beyond the scope of probable data. It is different than the normal existing data that
needs to be detected and removed because the presence and inclusion of outliers data in
calculation change the whole result and value. In this paper, we have worked and identified …

Outlier detection, removal, and analysis are important steps in any data cleansing process
under an application. Many log files and records generated and at the same time, it
becomes important to remove outlier which is irrelevant in the dataset. It is a data or object
which is beyond the scope of probable data. It is different than the normal existing data that
needs to be detected and removed because the presence and inclusion of outliers data in
calculation change the whole result and value. In this paper, we have worked and identified …