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Analysis of Customer Behaviour using Modern Data Mining Techniques

S.J. Nasti1 , M. Asgar2 , M.A. Butt3

  1. Department of Computer Sciences, BGSB University, Rajouri, India.
  2. School of Mathematical and Computer Sciences, BGSB University, Rajouri, India.
  3. Department of Computer Sciences, University of Kashmir, Hazratbal, India.

Correspondence should be addressed to: samiah.mushtaq14@gmail.com.

Section:Research Paper, Product Type: Journal Paper
Volume-5 , Issue-12 , Page no. 64-66, Dec-2017

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v5i12.6466

Online published on Dec 31, 2017

Copyright © S.J. Nasti, M. Asgar, M.A. Butt . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: S.J. Nasti, M. Asgar, M.A. Butt , “Analysis of Customer Behaviour using Modern Data Mining Techniques,” International Journal of Computer Sciences and Engineering, Vol.5, Issue.12, pp.64-66, 2017.

MLA Style Citation: S.J. Nasti, M. Asgar, M.A. Butt "Analysis of Customer Behaviour using Modern Data Mining Techniques." International Journal of Computer Sciences and Engineering 5.12 (2017): 64-66.

APA Style Citation: S.J. Nasti, M. Asgar, M.A. Butt , (2017). Analysis of Customer Behaviour using Modern Data Mining Techniques. International Journal of Computer Sciences and Engineering, 5(12), 64-66.

BibTex Style Citation:
@article{Nasti_2017,
author = {S.J. Nasti, M. Asgar, M.A. Butt },
title = {Analysis of Customer Behaviour using Modern Data Mining Techniques},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {12 2017},
volume = {5},
Issue = {12},
month = {12},
year = {2017},
issn = {2347-2693},
pages = {64-66},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=1581},
doi = {https://doi.org/10.26438/ijcse/v5i12.6466}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v5i12.6466}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=1581
TI - Analysis of Customer Behaviour using Modern Data Mining Techniques
T2 - International Journal of Computer Sciences and Engineering
AU - S.J. Nasti, M. Asgar, M.A. Butt
PY - 2017
DA - 2017/12/31
PB - IJCSE, Indore, INDIA
SP - 64-66
IS - 12
VL - 5
SN - 2347-2693
ER -

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Abstract

As we know enormous amount of data is present on the Internet and in order to get value out of this data and present the information to the user in a very simple form, researchers are working hard to collate this data.This colossal size of data on Internet is the most important source for decision making and marketing now-a-days. The paper presents a proposed model to understand online customer’s buying behaviour based on decision tree and artificial neural network models.Our model is comparatively good at predicting the precision of customer’s buying behaviour.

Key-Words / Index Term

Artificial Neural Network ,Buying Behaviour, Confusion Matrix, Data Mining, Decision Tree

References

[1] T. SH. Teo,“To buy or not to buy online: adopters and non-adopters of online shopping in Singapore”, Behavior and Information Technology, Vol. 25(6) , pp.497-509,2006.
[2] S. L. Ansari, “An integrated approach to control system design”, Accouting, Organizations and Society, Science Direct, Vol2 (2), pp. 101-112 , 1977.
[3] S. Qing, D. Gollmann, J. Zhou,“Information and communications society”, 5th International Conference, ICICS Huhehaote, China, October, pp. 10-13, 2003.
[4] S. Vallamkondu and L. Gruenwald, “Integrating purchase patterns and traversal patterns to predict HTTP requests in E-Commerce sites”, IEEE International Conference on E-Commerce, USA, pp. 256 – 263,2003.
[5] Y-S. Lee, S-J. Yen, G-H. Tu, M-C. Hsieh, “Mining travelling and purchasing behaviors of customers in electronic commerce environment”, Proceedings of the IEEE International Conference on e-Technology, e-Commerce and e-Service,2004.
[6] K. D. Satokar , S. Z. Gawali, )“Web search result personalizationusing web mining”, International Journal of Computer Applications (0975 – 8887) Vol. 2 (5), 2010.
[7] Kiruthika , R. Jadhav, D. Dixit, Rashmi, A. Nehete, T. Khodkar, T, “Pattern Discovery Using Association Rules”, International Journal of Advanced Computer Science and Applications, Vol 2 (12), pp.69-74, 2011.
[8] A. Todi, A. Agrawal, A. Taparia, N. Lakhmani, R. Shettar,“Classification Of E-Commerce Data Using Data Mining”,International Journal Of Engineering Science & Advanced Technology, Vol.2, (3), pp.550 – 554,2012.