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Deployment of Improved ID3 algorithm with Havrda and Charvat entropy for Employees performance evaluation

Kirandeep 1 , Neena Madan2

Section:Research Paper, Product Type: Journal Paper
Volume-6 , Issue-11 , Page no. 171-177, Nov-2018

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v6i11.171177

Online published on Nov 30, 2018

Copyright © Kirandeep, Neena Madan . 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: Kirandeep, Neena Madan, “Deployment of Improved ID3 algorithm with Havrda and Charvat entropy for Employees performance evaluation,” International Journal of Computer Sciences and Engineering, Vol.6, Issue.11, pp.171-177, 2018.

MLA Style Citation: Kirandeep, Neena Madan "Deployment of Improved ID3 algorithm with Havrda and Charvat entropy for Employees performance evaluation." International Journal of Computer Sciences and Engineering 6.11 (2018): 171-177.

APA Style Citation: Kirandeep, Neena Madan, (2018). Deployment of Improved ID3 algorithm with Havrda and Charvat entropy for Employees performance evaluation. International Journal of Computer Sciences and Engineering, 6(11), 171-177.

BibTex Style Citation:
@article{Madan_2018,
author = {Kirandeep, Neena Madan},
title = {Deployment of Improved ID3 algorithm with Havrda and Charvat entropy for Employees performance evaluation},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {11 2018},
volume = {6},
Issue = {11},
month = {11},
year = {2018},
issn = {2347-2693},
pages = {171-177},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=3139},
doi = {https://doi.org/10.26438/ijcse/v6i11.171177}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v6i11.171177}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=3139
TI - Deployment of Improved ID3 algorithm with Havrda and Charvat entropy for Employees performance evaluation
T2 - International Journal of Computer Sciences and Engineering
AU - Kirandeep, Neena Madan
PY - 2018
DA - 2018/11/30
PB - IJCSE, Indore, INDIA
SP - 171-177
IS - 11
VL - 6
SN - 2347-2693
ER -

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Abstract

In industrial sector, employee performance evaluation has paramount importance which will be used for predicting the performance of an employee or a number of employees by considering various aspects like employee’s task type, job skills, working quality, interpersonal relationship, creativity, adherence to policy, productivity, attendance, performance etc. Data mining consists of different techniques used to complete our objectives. Using this particular research, the industry superiors will have the ability to predict the performance of employees in an organization. The decision tree method is used on the database of an employee or a number of employees in order to analyze an employee data to make a prediction. Data mining is a tool which allows us to manage the data in a superior way.

Key-Words / Index Term

Havrda and Charvat entropy, Improved ID3 algorithm, Information gain

References

[1] Shubham Tupe, Chetan Mahajan, Dnyaneshwar Uplenchwar, Pratik Deo,“ Employee Performance Evaluation System Using ID3 Algorithm”, International Journal of Innovative Research in Computer & Communication Engineering, Vol. 5, Issue 2, February 2017
[2] Prof. Mr. A.M Bhadgale, Ms. Sharvari Natu, Ms. Sharvari G. Deshpande, Mr. Anirudha J. Nilegaonkar., “Implementation of Improved ID3 Algorithm Based on Association Function,” Volume 114, No. 10 2017, 1-9
[3] Rahul A. Patil, Prashant G. Ahire, Pramod. D. Patil, “A Modified Approach to Construct decision Tree in Data Mining Classification “, International Journal of Engineering and Innovative Technology (IJEIT) , Volume 2, Issue 1, July 2012
[4] Sartaj Sahni, “Algorithms analysis and design”, Galgotia Publications Pvt. Ltd., New Delhi, 1996
[5] Nishant Mathur, Sumit Kumar, Santosh Kumar, And Rajni Jindal, “The Base Strategy For ID3 Algorithm Of Data Mining Using Havrda And Charvat Entropy Based On Decision Tree”, International Journal Of Information And Electronics Engineering, Vol. 2, No. 2, March 2012
[6] L.Surya Prasanthi1, R.Kiran Kumar2, “ID3 and Its Applications in Generation of Decision Trees across Various Domains- Survey”, International Journal of Computer Science and Information Technologies, Vol. 6 (6) , 2015
[7] Kirandeep, Mrs. Neena Madan, “Analysis of Improved ID3 algorithm using Havrda and Charvat entropy”, International Journal of Scientific Research in Computer Science, Engineering and Information Technology © 2018 IJSRCSEIT | Volume 3 | Issue 3 | ISSN : 2456-3307