A Comparative Machine Learning Study on IT Sector Edge Nearer to Working From Home (WFH) Contract Category for Improving Productivity

Author:

Sungheetha Akey,Sharma R Rajesh

Abstract

Many private companies in India offered working from home (WFH) for employees due to COVID’19 lockdown. The WFH has both merits and demerits for the employees as well as employer when it compared within office working environment. Many research works is showing many opinions about increases or decreases of productivity in the real time for any industries. This works talks about WFH impression is leads to edge nearer for the efficient productivity to any employer. In addition, the research article is providing survey of the benefits and demerits of WFH in India. In the view of the higher capacity, ultra very low level inactivity for better security is in the internetwork domain, there are lots of benefits in telework, and internet based work. The predicting development is done by Random Forest, Decision Tree, and Naïve Bayes for future with the help of three datasets. The datasets has taken from three types of general public such as city, town, and village for this research analysis. This research article is weighing up the rate of changes of productivity from the employees. Finally, this research work compares the learning method analysis includes prediction of rate of change of productivity from employees at city region. This prediction is computed by ML algorithm. Based on this prediction employers can improve and plan for their production and control the system in a better way.

Publisher

Inventive Research Organization

Subject

General Medicine

Cited by 7 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3