Normalization: A Preprocessing Stage

TL;DR

This paper discusses the importance of normalization in data preprocessing, reviews existing techniques, and introduces a new method called Integer Scaling Normalization, demonstrating its application on various datasets.

Contribution

The paper proposes a novel normalization technique named Integer Scaling Normalization and evaluates its effectiveness on multiple datasets.

Findings

Integer Scaling Normalization offers a new approach to data normalization.

The technique is applicable to various datasets and potentially improves data preprocessing.

Comparison with existing methods shows promising results.

Abstract

As we know that the normalization is a pre-processing stage of any type problem statement. Especially normalization takes important role in the field of soft computing, cloud computing etc. for manipulation of data like scale down or scale up the range of data before it becomes used for further stage. There are so many normalization techniques are there namely Min-Max normalization, Z-score normalization and Decimal scaling normalization. So by referring these normalization techniques we are going to propose one new normalization technique namely, Integer Scaling Normalization. And we are going to show our proposed normalization technique using various data sets.