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Analysis of Prediction Techniques based on Classification and Regression

by Pinki Sagar, Prinima, Indu
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 163 - Number 7
Year of Publication: 2017
Authors: Pinki Sagar, Prinima, Indu
10.5120/ijca2017913623

Pinki Sagar, Prinima, Indu . Analysis of Prediction Techniques based on Classification and Regression. International Journal of Computer Applications. 163, 7 ( Apr 2017), 47-51. DOI=10.5120/ijca2017913623

@article{ 10.5120/ijca2017913623,
author = { Pinki Sagar, Prinima, Indu },
title = { Analysis of Prediction Techniques based on Classification and Regression },
journal = { International Journal of Computer Applications },
issue_date = { Apr 2017 },
volume = { 163 },
number = { 7 },
month = { Apr },
year = { 2017 },
issn = { 0975-8887 },
pages = { 47-51 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume163/number7/27409-2017913623/ },
doi = { 10.5120/ijca2017913623 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:09:34.059799+05:30
%A Pinki Sagar
%A Prinima
%A Indu
%T Analysis of Prediction Techniques based on Classification and Regression
%J International Journal of Computer Applications
%@ 0975-8887
%V 163
%N 7
%P 47-51
%D 2017
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Data Mining (sometimes called data or knowledge discovery) is the process of analyzing data from different perspectives and summarizing it into useful information – making it more accurate, reliable, efficient and beneficial. In data mining various techniques are used- classification, clustering, regression, association mining. These techniques can be used on various types of data; it may be stream data, one dimensional, two dimensional or multi-dimensional data. In this paper we analyze the data mining techniques based on various parameters. All data mining techniques used in various fields for prediction and extraction of useful data or knowledge from a large data base is analyzed and each data mining technique has different performance.

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Index Terms

Computer Science
Information Sciences

Keywords

Data mining Classification Prediction Clustering Association

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