Applying Data Visualization Techniques for Online Tailoring Sales Analysis Using WEKA

Applying Data Visualization Techniques for Online Tailoring Sales Analysis Using WEKA

Authors

  • Dr. Manju K Mathai ktu
  • Joe Tom Thomas

Keywords:

Machine Learning, OneR, k-Nearest Neighbors, J48, Random Forest, Weka, Accuracy

Abstract

Online tailoring management is a website
which provides both stich and readymade dresses like
salwar kameez, Kurtis etc. It is important for a business
to analyze its achievements. This paper focuses on
identifying most average and less sold products among
the different products available in the business using
Weka. The above process will help business in the future
to select which product they should produce more, which
product less, price management etc. This paper
compares the output of various machine learning
techniques like k -Nearest Neighbors (KNN), J48, OneR
and Random Forest on the sales database of online tailoring web page. The different attributes present
in the database are Product type, Product price, Date of
Order and Total Price.

Published

2022-12-20

How to Cite

Dr. Manju K Mathai, & Joe Tom Thomas. (2022). Applying Data Visualization Techniques for Online Tailoring Sales Analysis Using WEKA. National Conference on Emerging Computer Applications, 3(1). Retrieved from https://ajcejournal.in/nceca/article/view/110
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