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

Saved in:
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:
Online Access: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
http://umpir.ump.edu.my/id/eprint/26687/
Tags: Add Tag
No Tags, Be the first to tag this record!