Weighted Density based Error Optimization for Classical Dataset |
Author(s): |
| Sumeet V. Shingi , PES College of Engineering |
Keywords: |
| Error optimization, Deviation based method, Methods of outliers |
Abstract |
|
Error optimization has many significant applications being a branch of data mining. In statistics, there are different methods which are brought –up into the pathway of detection of errors independently. When dealing with very large classical datasets, there are various obstacles which are not present on small scale. With respect to numerical data, exiting methods cannot be applied directly since difference in between datasets with respect to their classes is defined. This paper contributes its efforts for evaluating error optimization algorithm for classical dataset based on given density. Proper formulation of uncertainty of objects and its density in every attributes provides weighted density. With this exercise, understanding of its different applications will be more sophisticated for beginners. |
Other Details |
|
Paper ID: IJSRDV4I20556 Published in: Volume : 4, Issue : 2 Publication Date: 01/05/2016 Page(s): 414-415 |
Article Preview |
|
|
|
|
