Normalization: A Preprocessing Stage

By S.Gopal, K. Patro, Kishore Kumar Sahu. arXiv.org, 2015

1,271 citations recorded by the source corpus.

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.

Subfields: Artificial Intelligence, Information Systems

View Paper: https://www.semanticscholar.org/paper/6645a3f1927d345346ec869ca77152f3b7d3242f

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In Artificial Intelligence

1. Tri Wahyuningsih
2. Efana Rahwanto
3. Henderi Henderi

In Information Systems

1. Tri Wahyuningsih
2. Efana Rahwanto
3. Henderi Henderi

Citations in the corpus

• Comparison of Min-Max normalization and Z-Score Normalization in the K-nearest neighbor (kNN) Algorithm to Test the Accuracy of Types of Breast Cancer (2021, methodology): “= The new value from the normalized results Xnew X = Old value Max (X) = Maximum value in the dataset Min (X) = Minimum value in the dataset Z-score normalization is a method of normalization based on the mean (mean value) and standard deviation (standard deviation) of the data [18] [19].”
• Residual stresses in wire-arc additive manufacturing – Hierarchy of influential variables (2020, methodology): “Normalization is done by using the min-max normalization method [37] where a variable V is normalized to V* as, V* = (V - Vmin) / (Vmax - Vmin).”