SUPERVISED QR ALGORITHM TO ESTIMATE THE FINANCIAL PRODUCT DATA PROCESS TIME ANALYSIS BASED ON ONLINE PURCHASE DETAILS

Abstract

TheSupervised QR Algorithm is thus used to estimate the financial production data recipe and time fraction based on the online purchase details. The trading algorithm method used before has a very low rating, and the recipe does not clearly explain the financial and time-related processes. For that, are going to use the QR Method in this area. The method of doing this is very helpful for easy analysis of financial and Times related information analysis. One of the most important in an industry is the financial sector.Moreover, analysis is very important to find the problems in them. Analysis can correct various errors in practice. It shows us information on how to raise funds and improve funding in online purchases. Modern variations in his generating and increasing data and creating a parallel account make many changes simultaneously. These are very helpful in adjusting the financial position of the industry to suit the financial situation.