A Comparative Study on Data Mining Algorithms for Classification & Regression

Authors(3) :-D. Kavitha, K. Sivasankari, M. Pavethra

Today, most of the organizations are actively collecting and storing data in large databases. The increasing demandforretrieval and analysis is answered by an efficient method called as “Data Mining” (DM). It is the process of extracting hidden information from large database/data warehouse. For the retrieval and analysis, DM uses different types of algorithms.Based on its applications,data mining algorithms are classified into five types such as, classification, regression, segmentation, association, sequence analysis.In this paper we present a comparative study among classification and regression algorithms. This paper providesa complete knowledge about the explained algorithms and a comparison between the algorithms presented in this section improves the value of this study.

Authors and Affiliations

D. Kavitha
CSE, Anna University/Dhaanish Ahmed College of Engineering, Chennai, TamilNadu, India
K. Sivasankari
CSE, Anna University/Dhaanish Ahmed College of Engineering, Chennai, TamilNadu, India
M. Pavethra
CSE, Anna University/Dhaanish Ahmed College of Engineering, Chennai, TamilNadu, India

Data Mining, Classification, Regression, SVM, KNN.

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Publication Details

Published in : Volume 3 | Issue 1 | January-February 2018
Date of Publication : 2018-02-28
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 396-399
Manuscript Number : CSEIT183181
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

D. Kavitha, K. Sivasankari, M. Pavethra, "A Comparative Study on Data Mining Algorithms for Classification & Regression", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 3, Issue 1, pp.396-399, January-February-2018.
Journal URL : http://ijsrcseit.com/CSEIT183181

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