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Reseach Article

An Overview on Mobile Data Mining

by D. Natarajasivan, M. Govindarajan
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 99 - Number 12
Year of Publication: 2014
Authors: D. Natarajasivan, M. Govindarajan
10.5120/17424-8277

D. Natarajasivan, M. Govindarajan . An Overview on Mobile Data Mining. International Journal of Computer Applications. 99, 12 ( August 2014), 11-14. DOI=10.5120/17424-8277

@article{ 10.5120/17424-8277,
author = { D. Natarajasivan, M. Govindarajan },
title = { An Overview on Mobile Data Mining },
journal = { International Journal of Computer Applications },
issue_date = { August 2014 },
volume = { 99 },
number = { 12 },
month = { August },
year = { 2014 },
issn = { 0975-8887 },
pages = { 11-14 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume99/number12/17424-8277/ },
doi = { 10.5120/17424-8277 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:28:01.021068+05:30
%A D. Natarajasivan
%A M. Govindarajan
%T An Overview on Mobile Data Mining
%J International Journal of Computer Applications
%@ 0975-8887
%V 99
%N 12
%P 11-14
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In early days the mobile phones are considered to perform only telecommunication operation. This scenario of mobile phones as communication devices changed with the emergence of a new class of mobile devices called the smart phones. These smart phones in addition to being used as a communication device are capable of doing things that a computer does. In recent times the smart phone are becoming more and more powerful in both computing and storage aspects. The data generated by the smart phone provide a means to get new knowledge about various aspects like usage, movement of the user etc. This paper provides an introduction to Mobile Data Mining and its types.

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Index Terms

Computer Science
Information Sciences

Keywords

Mobile Data Mining Location Based Service Behavior Analysis Movement Prediction Intrusion Detection.