Analysis of Customer Behaviour using Modern Data Mining Techniques

Authors

  • SJ Nasti Department of Computer Sciences, BGSB University, Rajouri, India
  • M Asgar School of Mathematical and Computer Sciences, BGSB University, Rajouri, India
  • MA Butt Department of Computer Sciences, University of Kashmir, Hazratbal, India

DOI:

https://doi.org/10.26438/ijcse/v5i12.6466

Keywords:

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

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.

References

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Published

2025-11-12
CITATION
DOI: 10.26438/ijcse/v5i12.6466
Published: 2025-11-12

How to Cite

[1]
S. Nasti, M. Asgar, and M. Butt, “Analysis of Customer Behaviour using Modern Data Mining Techniques”, Int. J. Comp. Sci. Eng., vol. 5, no. 12, pp. 64–66, Nov. 2025.

Issue

Vol. 5 No. 12 (2017): IJCSE December Edition

Section

Research Article

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