Enhancing Field Employee Productivity and Performance with Android Software Solution and Machine Learning-based Predictive Analytic Model-Reference-Cited by-同舟云学术

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Enhancing Field Employee Productivity and Performance with Android Software Solution and Machine Learning-based Predictive Analytic Model

Published:2024-01-18 Issue: Volume:10 Page:336-343
ISSN:
Container-title:2024 5th International Conference on Mobile Computing and Sustainable Informatics (ICMCSI)
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Author:

Chilamkurthi Vijayakumar¹,Deka Bhupesh¹,Nikitha Jajala¹,Marapatla AjayDilipkumar¹,Babu D Kishore²

Affiliation:

1. VNR Vignana Jyothi Institute of Engineering & Technology (JNTUH Hyderabad),Department of Computer Science and Engineering (AIML & IoT),Hyderabad,India

2. Acharya Nagarjuna University,Bapatla Engineering College (Autonomous),Department of Computer Science and Engineering,Guntur,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10493857/10493205/10493969.pdf?arnumber=10493969

Reference15 articles.

1. Employee Tracking System using Android;Ramteke,2020

2. Employee Performance Prediction using Naïve Bayes;Jayadi,2019

3. Employee’s Performance Analysis and Prediction using K- Means Clustering Decision Tree Algorithm;Sarker;Global Journal of Computer Science and Technology,2018

4. Geo-Encryption Lite;Smita;A location-based Encryption Application for Android International Journal of Computer Applications (0975 – 8887),2017

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