Analyze of Mobile Shopping Using Naivebayes Classifier

Authors(2) :-T. Lucia Agnes Beena, A. Irudhaya Amala Benitta

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.

Authors and Affiliations

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

Data Mining, Weka Tool, Classifier, Naivebayes

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Publication Details

Published in : Volume 4 | Issue 8 | May-June 2018
Date of Publication : 2018-04-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 76-79
Manuscript Number : IJSRSET11844503
Publisher : Technoscience Academy

Print ISSN : 2395-1990, Online ISSN : 2394-4099

Cite This Article :

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.
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