Web Application for Copier Machine Rental System
International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064


Downloads: 142 | Views: 312

Survey Paper | Computer Science & Engineering | India | Volume 7 Issue 10, October 2018 | Popularity: 6.2 / 10


     

Web Application for Copier Machine Rental System

Shreya Diwate, Dhanashree Jain, Trupti Bargaje, Rajesh Lomte


Abstract: In copier machine rental business, it is necessary to predict quantity of spare parts of the copier machines for better inventory management. If the relationship between corrupted spare parts can be identified, it will be helpful to the business inventory management and for machine repairing employees also to know which parts they should keep with them before going to the customers place. In this paper we are discussing Apriori algorithm for recommendation and three classification algorithms- Nave Bayes algorithm, Logistic regression, Decision Tree algorithm. We are considering a common 3 month machine data set and analyzing each classification algorithm for its performance and accuracy to select the best algorithm among them.


Keywords: Naive Bayes, Decision Tree, Logistic regression, Classification, Apriori algorithm, prediction, analysis


Edition: Volume 7 Issue 10, October 2018


Pages: 1238 - 1241



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Shreya Diwate, Dhanashree Jain, Trupti Bargaje, Rajesh Lomte, "Web Application for Copier Machine Rental System", International Journal of Science and Research (IJSR), Volume 7 Issue 10, October 2018, pp. 1238-1241, https://www.ijsr.net/getabstract.php?paperid=ART20191981, DOI: https://www.doi.org/10.21275/ART20191981

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