Hybrid sampling and random forest machine learning approach for software detect prediction

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...

Full description

Bibliographic Details
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
Format: Conference or Workshop Item
Language:English
English
Published: 2019
Subjects:
TK Electrical engineering. Electronics Nuclear engineering
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

Similar Items

Similar Items