Potential Customer Prediction

International Journal of Engineering and Management Research

View Publication Info
 
 
Field Value
 
Title Potential Customer Prediction
 
Creator Suyash S. Tambe
Vivek Ambetkar
Prathamesh Ambovkar
 
Subject Customer
Prediction
Machine Learning
Apriori Algorithm
 
Description Major industries today are dealing with large amount of data even small shops are no oblivion for the huge pile of customer data. To gain profit in competitive marketing is imperative that the useful information shall be extracted out of this data. The processing of this huge pile of data becomes monotonous task and the different types of software and algorithms are developed to process and acquire result out of this data. This project deals with same kind of problem of dealing with data. Taking customer purchase history as an input our system using "Apriori Algoritm" classifies these customers as potential and non-potential customers. Customers who are potential are more likely to buy more from the store and help enhance business.
 
Publisher Vandana Publications
 
Date 2021-04-30
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
 
Format application/pdf
 
Identifier https://www.ijemr.net/ojs/index.php/ojs/article/view/756
10.31033/ijemr.11.2.14
 
Source International Journal of Engineering and Management Research; Vol. 11 No. 2 (2021): April Issue; 100-102
2250-0758
2394-6962
 
Language eng
 
Relation https://www.ijemr.net/ojs/index.php/ojs/article/view/756/840
 
Rights Copyright (c) 2021 International Journal of Engineering and Management Research
https://creativecommons.org/licenses/by-nc-nd/4.0
 

Contact Us

The PKP Index is an initiative of the Public Knowledge Project.

For PKP Publishing Services please use the PKP|PS contact form.

For support with PKP software we encourage users to consult our wiki for documentation and search our support forums.

For any other correspondence feel free to contact us using the PKP contact form.

Find Us

Twitter

Copyright © 2015-2018 Simon Fraser University Library