IJSRSET calls volunteers interested to contribute towards the scientific development in the field of Science, Engineering and Technology

Home > IJSRSET11844503                                                     


Analyze of Mobile Shopping Using Naivebayes Classifier

Authors(2):

T. Lucia Agnes Beena, A. Irudhaya Amala Benitta
  • Abstract
  • Authors
  • Keywords
  • References
  • Details
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.

T. Lucia Agnes Beena, A. Irudhaya Amala Benitta

Data Mining, Weka Tool, Classifier, Naivebayes

  1. Han,J. and Kamber, M., "Data Mining: Concepts andTechniques", 2nd edition.
  2. Data Mining Introductory and Advanced Topics" by Margaret H. Dunham
  3. M.J.A. Berry, G. Linoff, Data Mining Techniques for Mar- keting, Sales, and Customer Support, Wiley, New York, 1997.
  4. Blackwell, RD, Miniard, PW & Engel, JF (2006). Consumer behavior, 10th edn, Thomson South-Western, Boston. Cochran, W. G. (1977). Sampling techniques (3rd ed.). New York: John Wiley & Sons. Comer and T. A. Wikle (2008), Worldwide diffusion of the cellular telephone, (1995-2005). The Professional Geographer, 60(2), 252-269.
  5. Palak shah, opensourceforu.com (2017/01) an-introduction-to-weka.
  6. H. Holtz, Database Marketing-Every Manager's Guide to the Super Marketing Tool of the 21st Century, Wiley, New York, 1992.
  7. D.A. Keim, Visualization techniques for mining large databases: a comparison, IEEE Transactions on Knowledge and Data Engineering 8 6. 1996. 923–937
  8. D. Peppers, M. Rogers, Is your company ready for one-to-one marketing? Harvard Business Review 1999. 151–160.
  9. Kifaya (2009) Mining student evaluation using associative classification and clustering Communications of the IBIMA vol. 11 IISN 1943-7765

Publication Details

Published in : Volume 4 | Issue 8 | May-June - 2018
Date of Publication Print ISSN Online ISSN
2018-04-30 2395-1990 2394-4099
Page(s) Manuscript Number   Publisher
76-79 IJSRSET11844503   Technoscience Academy

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.
URL : http://ijsrset.com/IJSRSET11844503.php