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Reseach Article

Customer Relationship Management Classification by Hybridizing Genetic Algorithm and Fuzzy K-Nearest Neighbor - A Review

by Jashandeep Kaur, Rekha Bhatia
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 146 - Number 9
Year of Publication: 2016
Authors: Jashandeep Kaur, Rekha Bhatia
10.5120/ijca2016910890

Jashandeep Kaur, Rekha Bhatia . Customer Relationship Management Classification by Hybridizing Genetic Algorithm and Fuzzy K-Nearest Neighbor - A Review. International Journal of Computer Applications. 146, 9 ( Jul 2016), 25-27. DOI=10.5120/ijca2016910890

@article{ 10.5120/ijca2016910890,
author = { Jashandeep Kaur, Rekha Bhatia },
title = { Customer Relationship Management Classification by Hybridizing Genetic Algorithm and Fuzzy K-Nearest Neighbor - A Review },
journal = { International Journal of Computer Applications },
issue_date = { Jul 2016 },
volume = { 146 },
number = { 9 },
month = { Jul },
year = { 2016 },
issn = { 0975-8887 },
pages = { 25-27 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume146/number9/25427-2016910890/ },
doi = { 10.5120/ijca2016910890 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:49:58.662611+05:30
%A Jashandeep Kaur
%A Rekha Bhatia
%T Customer Relationship Management Classification by Hybridizing Genetic Algorithm and Fuzzy K-Nearest Neighbor - A Review
%J International Journal of Computer Applications
%@ 0975-8887
%V 146
%N 9
%P 25-27
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Data mining is the process of extraction of information from various datasets on the basis of different attributes. Mining has to be done to extract hidden relationship between various database entities. In the customer relationship management, a choice of relational attributes are available in the dataset. In this paper various techniques are used for the customer relationship.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Data Mining Customer Relationship Management SVM Naïve bayes GA Fuzzy KNN J48.