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Social network,classifier, MEKA, Random forest tree, J48, REP tree

Anupama Tyagi1 , Sanjiv Sharma2

  1. Department of CSE and IT,Madhav institute of technology and Science, Gwalior, India.
  2. Department of CSE and IT,Madhav institute of technology and Science, Gwalior, India.

Correspondence should be addressed to: anu.tyagi306@gmail.com.

Section:Research Paper, Product Type: Journal Paper
Volume-5 , Issue-6 , Page no. 35-41, Jun-2017

Online published on Jun 30, 2017

Copyright © Anupama Tyagi, Sanjiv Sharma . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: Anupama Tyagi, Sanjiv Sharma, “Social network,classifier, MEKA, Random forest tree, J48, REP tree,” International Journal of Computer Sciences and Engineering, Vol.5, Issue.6, pp.35-41, 2017.

MLA Style Citation: Anupama Tyagi, Sanjiv Sharma "Social network,classifier, MEKA, Random forest tree, J48, REP tree." International Journal of Computer Sciences and Engineering 5.6 (2017): 35-41.

APA Style Citation: Anupama Tyagi, Sanjiv Sharma, (2017). Social network,classifier, MEKA, Random forest tree, J48, REP tree. International Journal of Computer Sciences and Engineering, 5(6), 35-41.

BibTex Style Citation:
@article{Tyagi_2017,
author = {Anupama Tyagi, Sanjiv Sharma},
title = {Social network,classifier, MEKA, Random forest tree, J48, REP tree},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {6 2017},
volume = {5},
Issue = {6},
month = {6},
year = {2017},
issn = {2347-2693},
pages = {35-41},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=1300},
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=1300
TI - Social network,classifier, MEKA, Random forest tree, J48, REP tree
T2 - International Journal of Computer Sciences and Engineering
AU - Anupama Tyagi, Sanjiv Sharma
PY - 2017
DA - 2017/06/30
PB - IJCSE, Indore, INDIA
SP - 35-41
IS - 6
VL - 5
SN - 2347-2693
ER -

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Abstract

Recently, Social networks are linked to the one another which are made of actors called as node and a variety of social familiarities of relationships are offered by edges. Classification is essential approach with the broad applications to categorize the different types of data needed in nearly all type of field of the life. Classification used for classifying the item according to features of item w. r. t the classes which are predefined. In the classification tree modeling data is being classified to do the predictions about the data which is new. This type of paper describes use of the classification trees and the shows three methods of pruning them. An experiment has set up using the various types of the algo which is classification tree algorithms having various methods of pruning to test performance of algorithm and the method of pruning . Here paper is about analyzing about the properties of data set to search relations among them. MEKA used inside the implementation of proposed work which provide the result and show that our work is much better than existing work.

Key-Words / Index Term

Social network,classifier, MEKA, Random forest tree, J48, REP tree

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