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Analysis of Data Mining Techniques and its Applications

by Fathimath Zuha Maksood, Geetha Achuthan
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 140 - Number 3
Year of Publication: 2016
Authors: Fathimath Zuha Maksood, Geetha Achuthan
10.5120/ijca2016909249

Fathimath Zuha Maksood, Geetha Achuthan . Analysis of Data Mining Techniques and its Applications. International Journal of Computer Applications. 140, 3 ( April 2016), 6-14. DOI=10.5120/ijca2016909249

@article{ 10.5120/ijca2016909249,
author = { Fathimath Zuha Maksood, Geetha Achuthan },
title = { Analysis of Data Mining Techniques and its Applications },
journal = { International Journal of Computer Applications },
issue_date = { April 2016 },
volume = { 140 },
number = { 3 },
month = { April },
year = { 2016 },
issn = { 0975-8887 },
pages = { 6-14 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume140/number3/24572-2016909249/ },
doi = { 10.5120/ijca2016909249 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:41:17.061643+05:30
%A Fathimath Zuha Maksood
%A Geetha Achuthan
%T Analysis of Data Mining Techniques and its Applications
%J International Journal of Computer Applications
%@ 0975-8887
%V 140
%N 3
%P 6-14
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The exponential increase in data over the recent years has urged for techniques to log, process and analyze these records. Heavy data repositories with a bulk of unprocessed content can lead to wastage of storage space as well as loss of hidden information. Since the late 90s, efforts have been taken to refine the concept of Knowledge Discovery in Databases and data mining. Organizations have started incorporating this approach to market their promotions as well as predict the buyers’ choices. This paper is aimed at providing a detailed introduction to data mining, review of real world applications pertaining to the concept, big data and data mining techniques, as well as an integrated overview of the recent studies related to smart cities in the field of traffic prediction and forecasting energy consumption, especially in Oman.

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Index Terms

Computer Science
Information Sciences

Keywords

Data Mining Big Data Smart City Clustering Classification Regression

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