Hybrid sampling and random forest machine learning approach for software detect prediction
The software has turn into an imperious part of human’s life. In the recent computing era, many large-scale complex network systems and millions of modern technological devices produce a huge amount of data every second. Among these data, the amount of imbalanced data is relatively excessive. The ma...
Main Authors: | Md. Anwar, Hossen, Md. Shariful, Islam, Nurhafizah, Abu Talip, Md. Sakib, Rahman, Fatema, Siddika, Mostafijur, Rahman, Sabira, Khatun, Mohamad Shaiful, Abdul Karim, S. M, Hasan Mahmud |
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Format: | Conference or Workshop Item |
Language: | English English |
Published: |
2019
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Subjects: | |
Online Access: | http://umpir.ump.edu.my/id/eprint/26687/ http://umpir.ump.edu.my/id/eprint/26687/1/42.%20Hybrid%20sampling%20and%20random%20forest%20machine%20learning.pdf http://umpir.ump.edu.my/id/eprint/26687/2/42.1%20Hybrid%20sampling%20and%20random%20forest%20machine%20learning.pdf |
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