Leveraging the Big Data and Principal Component Analysis (PCA) in Right Identification of Feature Selection for Business Datasets
Arnav Kakar
Vivekanand Institute of Professional Studies, New Delhi
32-35
Vol: 13, Issue: 2, 2023
Receiving Date:
2023-03-15
Acceptance Date:
2023-05-18
Publication Date:
2023-05-27
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http://doi.org/10.37648/ijrst.v13i02.005
Abstract
Due to its contribution to GDP, business plays an important role in a nation's development. India has 29% of the Gross domestic product furthermore 28% of work. The service sector is ranked 15th, and its nominal output is ranked 16th overall. This Project demonstrates re-engineering or improvement of business processes. The Project that has been proposed makes use of ideas from machine learning to determine the appropriate trend change for any business. Involving Rule Part Investigation as a dimensionality decrease strategy, we have diminished the number of highlights to a base. The model can operate more effectively and produce better outcomes thanks to this feature reduction method.
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Keywords:
Big data; Principal Component Analysis (PCA); pre-processing
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