Predicting Risk Matrix in Software Development Projects using BERT and K-Means-Reference-Cited by-同舟云学术

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Predicting Risk Matrix in Software Development Projects using BERT and K-Means

Published:2022-10-06 Issue: Volume: Page:
ISSN:
Container-title:2022 9th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI)
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Author:

Pilliang Marzuki¹^ORCID,Munawar ¹^ORCID,Hadi Muhammad Abdullah¹,Firmansyah Gerry¹^ORCID,Tjahjono Budi¹

Affiliation:

1. Esa Unggul University,Faculty of Computer Science,Jakarta,Indonesia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9946386/9946446/09946637.pdf?arnumber=9946637

Reference38 articles.

1. Risk Management for Software Projects in Banking

2. Determine the Number of Unknown Targets in Open World Based on Elbow Method

3. Integration K-Means Clustering Method and Elbow Method For Identification of The Best Customer Profile Cluster

4. The k-means Algorithm: A Comprehensive Survey and Performance Evaluation

5. Research on K-Value Selection Method of K-Means Clustering Algorithm

Cited by 1 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

1. A Risk Evaluation System for University Research Project Based on Combination Weighting and Grey Clustering;2023 8th IEEE International Conference on Network Intelligence and Digital Content (IC-NIDC);2023-11-03

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