Employeeas Performance Analysis and Prediction Using K-means Clustering & Decision Tree Algorithm

SM Shamim

Employeeas Performance Analysis and Prediction Using K-means Clustering & Decision Tree Algorithm

SM Shamim * §

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§ Mawlana Bhashani Science and Technology University

Employeeas Performance Analysis and Prediction Using K-means Clustering & Decision Tree Algorithm

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CSTSDE0P38C

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Synthesized scholarly intelligence & interactive research assistant

Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

SM Shamim. 2018. "Employeeas Performance Analysis and Prediction Using K-means Clustering & Decision Tree Algorithm". Global Journal of Computer Science and Technology - C: Software & Data Engineering GJCST-C Volume 18 (GJCST Volume 18 Issue C1).

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GJCST Volume 18 Issue C1

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords

Not Found

Classification

GJCST-C Classification I.5.3

H.3.3

Submission ReceivedDecember 11, 2017
Peer Review Double Blind
Handling Editor
Accepted January 1, 2018
Published February 26, 2018

Version of record

v1.2

Issue date

February 26, 2018

Language

English

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Article Matrices

Total Score: 109

Country: Bangladesh

Subject: Global Journal of Computer Science and Technology - C: Software & Data Engineering

Authors: Ananya Sarker, S.M. Shamim, Prof. Dr. Md. ShahidUz Zama, Md. Mustafizur Rahman (PhD/Dr. count: 1)

View Count (all-time): 217

Total Views (Real + Logic): 1370

Total Downloads (simulated): 86

Publish Date: 2018 01, Mon

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Total Views: 1.4K

Total Downloads: 86

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