A CMiner Algorithm based Mining Technique to Extract Competitors for Kaggle Dataset

Dr G Malini Devi Dr G Malini Devi

doi:10.17577/ijertv9is070567

Abstract

A CMiner Algorithm based Mining Technique to Extract Competitors for Kaggle Dataset - written by Dr. G. Malini Devi , Marlapudi Apurupa published on 2020/07/30 download full article with reference data and citations

Highlights

A deep research has shown the key significance of distinguishing and observing a firm's contenders
Surviving examination on the previous has concentrated on mining relative articulations from the Web or other printed sources [12]
Even though such expressions can be indicators of competitiveness, they are missing in numerous areas

Summary

Introduction

A deep research has shown the key significance of distinguishing and observing a firm's contenders. Surviving examination on the previous has concentrated on mining relative articulations (for example "Thing A is superior to Thing B") from the Web or other printed sources [12]. Even though such expressions can be indicators of competitiveness, they are missing in numerous areas. It is anything but difficult to recognize standard spaces where such proof is incredibly rare, for example, shoes, jewelery, inns, eateries, and furniture Inspired by these inadequacies, another formalization of the competition between two things, in light of the market sections that they can both spread is proposed

Objectives

Methods

Results

Conclusion