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A Survey On: Analysis of Pattern Mining and Behavior Prediction in M-Commerce

by Tejal V. Deshmukh, Anant M. Bagade
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 71 - Number 23
Year of Publication: 2013
Authors: Tejal V. Deshmukh, Anant M. Bagade
10.5120/12626-9338

Tejal V. Deshmukh, Anant M. Bagade . A Survey On: Analysis of Pattern Mining and Behavior Prediction in M-Commerce. International Journal of Computer Applications. 71, 23 ( June 2013), 19-23. DOI=10.5120/12626-9338

@article{ 10.5120/12626-9338,
author = { Tejal V. Deshmukh, Anant M. Bagade },
title = { A Survey On: Analysis of Pattern Mining and Behavior Prediction in M-Commerce },
journal = { International Journal of Computer Applications },
issue_date = { June 2013 },
volume = { 71 },
number = { 23 },
month = { June },
year = { 2013 },
issn = { 0975-8887 },
pages = { 19-23 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume71/number23/12626-9338/ },
doi = { 10.5120/12626-9338 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:36:26.535772+05:30
%A Tejal V. Deshmukh
%A Anant M. Bagade
%T A Survey On: Analysis of Pattern Mining and Behavior Prediction in M-Commerce
%J International Journal of Computer Applications
%@ 0975-8887
%V 71
%N 23
%P 19-23
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Today is the world of science, mobile technologies, web applications, internet applications, business transactions these technologies can be combined to online business on mobile device which will increase the business performance. This is a real world practical application where a need arises to think about user using the system application which will run on mobile device. Thinking of user who makes actually transactions with the mobile device is a prime requirement. The main concept is to think about end user who interacts with the system taking into concern of m-commerce and mobile mobility, location area, data mining, behavior of user spending patterns which will have an enormous effect on business industry and to the society also. These methods also increase growth in various kinds of apps in mobile devices from low version phones to smart phones. So a need generates to use these in our transactions to locate shops, malls which will be situated at some distance far from our place and predict the user behavior in purchasing or making transactions into the shop with help of low version phones to smart phones. Since every user does not have smart phones so a system or an application should be made for the user using simple phones to generate automatic view of nearest shops or malls, with help of cellular phone. This will naturally make the business industry grow and give benefit to users which all counts for an m-commerce business economy industry.

References
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Index Terms

Computer Science
Information Sciences

Keywords

M-commerce Mobile phones Mobile mobility K-nearest algorithm for capturing nearest areas(states cities) data mining behavior prediction images location area

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