S. Jeeva Kumar1
, C. Muthu2
Section:Review Paper, Product Type: Journal Paper
Volume-07 ,
Issue-05 , Page no. 230-231, Mar-2019
CrossRef-DOI:
https://doi.org/10.26438/ijcse/v7si5.230231
Online published on Mar 10, 2019
Copyright © S. Jeeva Kumar, C. Muthu . 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: S. Jeeva Kumar, C. Muthu, “Discriminant Analysis of IT Employees’ Performance,” International Journal of Computer Sciences and Engineering, Vol.07, Issue.05, pp.230-231, 2019.
MLA Style Citation: S. Jeeva Kumar, C. Muthu "Discriminant Analysis of IT Employees’ Performance." International Journal of Computer Sciences and Engineering 07.05 (2019): 230-231.
APA Style Citation: S. Jeeva Kumar, C. Muthu, (2019). Discriminant Analysis of IT Employees’ Performance. International Journal of Computer Sciences and Engineering, 07(05), 230-231.
BibTex Style Citation:
@article{Kumar_2019,
author = {S. Jeeva Kumar, C. Muthu},
title = {Discriminant Analysis of IT Employees’ Performance},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {3 2019},
volume = {07},
Issue = {05},
month = {3},
year = {2019},
issn = {2347-2693},
pages = {230-231},
url = {https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=839},
doi = {https://doi.org/10.26438/ijcse/v7i5.230231}
publisher = {IJCSE, Indore, INDIA},
}
RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v7i5.230231}
UR - https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=839
TI - Discriminant Analysis of IT Employees’ Performance
T2 - International Journal of Computer Sciences and Engineering
AU - S. Jeeva Kumar, C. Muthu
PY - 2019
DA - 2019/03/10
PB - IJCSE, Indore, INDIA
SP - 230-231
IS - 05
VL - 07
SN - 2347-2693
ER -
Several business problems have many possible solutions across many variables. The multivariate techniques, such as Discriminant Analysis, are often used for solving such business problems. In this Paper, the Discriminant Analysis Technique is used to generate a set of well-defined rules, which would be very helpful to the HR department of an IT Company at the time of new recruits.
Multivariate Techniques; Discriminant Analysis
[1] J. Bughin, “Big Data, Big Bang? “ , Journal of Big Data, Vol. 3, Issue 2, pp. 1-14, 2016.
[2] C. Muthu and M.C. Prakash, “Impact of Hadoop EcoSystem on Big Data Analytics”, International Journal of Exclusive Management Research – Special Issue, Vol. 1, Issue 1, pp. 88-90, 2015.
[3] C.Muthu and M.C. Prakash, “Building a Price predictor for an Auctioning Website”, RETELL, Vol. 15, Issue 1, pp. 135-137, 2015.
