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Machine Learning: A Review on Binary Classification
by
Roshan Kumari,
Saurabh Kr. Srivastava
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 160 - Number 7 |
| Year of Publication: 2017 |
| Authors: Roshan Kumari, Saurabh Kr. Srivastava |
10.5120/ijca2017913083
|
Roshan Kumari, Saurabh Kr. Srivastava . Machine Learning: A Review on Binary Classification. International Journal of Computer Applications. 160, 7 ( Feb 2017), 11-15. DOI=10.5120/ijca2017913083
@article{
10.5120/ijca2017913083,
author = {
Roshan Kumari,
Saurabh Kr. Srivastava
},
title = { Machine Learning: A Review on Binary Classification },
journal = {
International Journal of Computer Applications
},
issue_date = { Feb 2017 },
volume = { 160 },
number = { 7 },
month = { Feb },
year = { 2017 },
issn = { 0975-8887 },
pages = {
11-15
},
numpages = {9},
url = {
https://ijcaonline.org/archives/volume160/number7/27084-2017913083/
},
doi = { 10.5120/ijca2017913083 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:06:02.025398+05:30
%A Roshan Kumari
%A Saurabh Kr. Srivastava
%T Machine Learning: A Review on Binary Classification
%J International Journal of Computer Applications
%@ 0975-8887
%V 160
%N 7
%P 11-15
%D 2017
%I Foundation of Computer Science (FCS), NY, USA
Abstract
In the field of information extraction and retrieval, binary classification is the process of classifying given document/account on the basis of predefined classes. Sockpuppet detection is based on binary, in which given accounts are detected either sockpuppet or non-sockpuppet. Sockpuppets has become significant issues, in which one can have fake identity for some specific purpose or malicious use. Text categorization is also performed with binary classification. This research synthesizes binary classification in which various approaches for binary classification are discussed.
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Index Terms
Computer Science
Information Sciences
Keywords