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Paper Title : A Study on Comparison between Normalization Techniques and Best Normalization Technique

ISSN : 2395-1303
Year of Publication : 2020
10.29126/23951303/IJET-V6I2P23

Authors: -Dhruvi Sonani , Prof. Binita B. Acharya

         


Abstract
As we know Normalization is a pre-processing stage of any problem statement. There is quite a few number of techniques to normalize the data namely Min-Max normalization, Z-score normalization and Decimal scaling normalization. By referring these techniques we are going to differentiate each from another and will decide the best method to normalize dataset.

Reference
[1] S.Gopal Krishna Patro and Kishore Kumar sahu, Normalization: A Preprocessing Stage [2] Mahadev Asaram Jadhav, Deogiri college, when and why do we need data normalization in data mining algorithm. (Google reference) [3] Alessandro Giuliani, best normalization method. [4] Håkon Hapnes Strand, Data Scientist, M.Tech Data Science, Indraprastha Institute of Information Technology, Delhi (2017) and Abhinav Sharma, Product Designer at Quora, former ML Engineer at Facebook [5] Luai Al Shalabi, Zyad Shaaban and Basel Kasasbeh Applied Science

Keywords
Normalization, Comparison of Normalization technique, transformation