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Tracking The User’s Behaviour in E- Commerce Website

Smriti Gupta1 , Komal Kumari2 , Latha A3

Section:Review Paper, Product Type: Journal Paper
Volume-07 , Issue-15 , Page no. 257-260, May-2019

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v7si15.257260

Online published on May 16, 2019

Copyright © Smriti Gupta, Komal Kumari, Latha A . 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: Smriti Gupta, Komal Kumari, Latha A, “Tracking The User’s Behaviour in E- Commerce Website,” International Journal of Computer Sciences and Engineering, Vol.07, Issue.15, pp.257-260, 2019.

MLA Style Citation: Smriti Gupta, Komal Kumari, Latha A "Tracking The User’s Behaviour in E- Commerce Website." International Journal of Computer Sciences and Engineering 07.15 (2019): 257-260.

APA Style Citation: Smriti Gupta, Komal Kumari, Latha A, (2019). Tracking The User’s Behaviour in E- Commerce Website. International Journal of Computer Sciences and Engineering, 07(15), 257-260.

BibTex Style Citation:
@article{Gupta_2019,
author = { Smriti Gupta, Komal Kumari, Latha A},
title = {Tracking The User’s Behaviour in E- Commerce Website},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {5 2019},
volume = {07},
Issue = {15},
month = {5},
year = {2019},
issn = {2347-2693},
pages = {257-260},
url = {https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=1239},
doi = {https://doi.org/10.26438/ijcse/v7i15.257260}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v7i15.257260}
UR - https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=1239
TI - Tracking The User’s Behaviour in E- Commerce Website
T2 - International Journal of Computer Sciences and Engineering
AU - Smriti Gupta, Komal Kumari, Latha A
PY - 2019
DA - 2019/05/16
PB - IJCSE, Indore, INDIA
SP - 257-260
IS - 15
VL - 07
SN - 2347-2693
ER -

           

Abstract

Online shopping is becoming more and more common in our daily lives. Tracking user’s interests and behaviour is essential in order to fulfil customer’s requirements. The information about user’s behaviour is stored in the web server logs. Absorbing a view of the process followed by user’s during a session can be of great interest to identify the behavioural patterns. The analysis of such information has focused on applying data mining techniques. Data mining is the process of sorting through large data sets to identify patterns and establish relationships to solve problems through data analysis. It is a process used by companies to turn raw data into useful information. By using software to look for patterns in large batches of data, businesses can learn more about their customers to develop more effective marketing strategies, increase sales and decrease costs. To address this issue, in this work we proposes a linear temporal logic model checking method for the analysis of structured e-commerce web logs.

Key-Words / Index Term

Data mining, e-commerce, web logs analysis, behavioural patterns, model checking

References

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[3] J. Couvreur, “On-the-fly verification of linear temporal logic,” in Proceedings of Formal Methods: World Congress on Formal Methods in the Development of Computing Systems, Toulouse (France), September, 1999, pp. 253–271.
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