Data Mining and Visualization to Understand Employee Attrition and Work Performance-Reference-Cited by-同舟云学术

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Data Mining and Visualization to Understand Employee Attrition and Work Performance

Published:2023-09-13 Issue: Volume: Page:
ISSN:
Container-title:2023 3rd International Conference on Computing and Information Technology (ICCIT)
language:
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Author:

Gollapalli Mohammed¹,Rahman Ata-Ur²,Osama Abdurrahman²,Alfaify Ahmad²,Yassin Muhammad²,Alabdullah Ahmad²

Affiliation:

1. Imam Abdulrahman Bin Faisal University,College of Computer Science & Information Technology,Department of Computer Information Systems,Dammam,Saudi Arabia,31441

2. Imam Abdulrahman Bin Faisal University,College of Computer Science & Information Technology,Department of Computer Science,Dammam,Saudi Arabia,31441

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10273859/10273869/10273889.pdf?arnumber=10273889

Reference19 articles.

1. A Critical Review of Data Mining Techniques Used for the Management of Sickle Cell Disease

2. Task Failure Prediction Using Machine Learning Techniques in the Google Cluster Trace Cloud Computing Environment

3. Detection of Chronic Kidney Disease Using Machine Learning Approach

4. Automated discovery of multi-faceted ontologies for accurate query answering and future semantic reasoning

5. An Artificial Intelligence Approach for Data Modelling Patients Inheritance of Sickle Cell Disease (SCD) in the Eastern Regions of Saudi Arabia

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