A Novel Approach to Data Mining Regression Techniques for Data Predicting

Abstract

Similarly, with the rapid advancement of technology, there are a variety of current 
programs that allow us to solve problems in a variety of areas of our lives. In today's world, we're 
able to anticipate potential threats to our work because of innovative products and approaches that 
were developed decades ago and are still being used today to address a wide range of difficulties 
and hazards. Since we know that a product can't work if it doesn't have the most important part, the 
database, we need new terminology to store this information. As a prelude to our discussion, we'll 
provide a brief definition of Big Data, data warehouses, and data mining, and then we'll focus on a 
specific regression system (straight and frequent relapses) and our approach to it. 
explain how and when relapse methods can be used and why they are necessary, with convincing 
examples. In spite of the fact that it is a predictive technique, experts have concluded that relapse as 
a tactic has a reliability rate of roughly 95% based on investigations. We will try to demonstrate this 
level of reliability through concrete examples in our paper.