The presented work can be elevated to the effectiveness with
integration of soft computing and metaheuristic approaches so that the overall
performance can be improved. Working in the ever-evolving technical field, we
are constantly immersed in the world of data science. The field is growing
rapidly, and data science is closely related to data mining. However, data
mining requires a data warehouse to be in place. If we want to create a data
warehouse, we'll need to go through the process of Extract, Load, and Testing
(ETL). ETL involves extracting data from different sources, transforming the
extracted data into the correct format, and then loading it into a data
warehouse. Integrating data science with the ETL is crucial for achieving
optimal performance. Furthermore, achieving optimal performance is crucial for
conducting accurate testing. By integrating soft computing and metaheuristic
approaches, we can enhance the effectiveness of the presented work and improve
its overall performance.
Author(s) Details:
Nanasaheb Mahadev Halgare,
M.S. Bidve Engineering College, Latur, Maharashtra, India.
Please see the link here: https://stm.bookpi.org/TAER-V6/article/view/13376
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