Critical Regression Analysis of Real Time Industrial Web Data Set Using Data Mining Tool

TL;DR

This paper applies regression analysis to real-time industrial web data to identify key attributes and predict growth factors, aiding companies in strategic decision-making in a competitive environment.

Contribution

It introduces a regression analysis approach on real-time web data for industrial applications, highlighting its potential for strategic insights.

Findings

Regression analysis identifies key growth attributes.

Predictive modeling supports strategic decision-making.

Real-time data enhances accuracy of insights.

Abstract

In todays fast pacing, highly competing,volatile and challenging world, companies highly rely on data analysis obtained from both offline as well as online way to make their future strategy, to sustain in the market. This paper reviews the regression technique analysis on a real time web data to analyse different attributes of interest and to predict possible growth factors for the company, so as to enable the company to make possible strategic decisions for the growth of the company.