Analyze of Mobile Shopping Using Naivebayes Classifier

Authors

  • T. Lucia Agnes Beena  Head of the Department, Department of IT, St. Joseph's College, Trichy, Tamil Nadu, India
  • A. Irudhaya Amala Benitta  M.Sc., Computer Science, Department of IT, St. Joseph's College, Trichy, Tamil Nadu, India

Keywords:

Data Mining, Weka Tool, Classifier, Naivebayes

Abstract

Data mining, the extraction of hidden predictive information from large databases, is a powerful new technology with great potential used in various commercial applications including retail sales, e-commerce, bioinformatics etc. There are varieties of popular data mining task within the data mining e.g. classification, clustering, outlier detection, association rule, prediction etc. This paper applies Naive Bayes classifier to analyze the behavior of youngsters in mobile purchase.

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International Journal of Scientific Research in Science, Engineering and Technology

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Published

2018-04-30

Issue

Volume 4, Issue 8, May-June-2018

Section

Research Articles

License

Copyright (c) IJSRSET

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
T. Lucia Agnes Beena, A. Irudhaya Amala Benitta "Analyze of Mobile Shopping Using Naivebayes Classifier" International Journal of Scientific Research in Science, Engineering and Technology (IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 4, Issue 8, pp.76-79, May-June-2018.