A review of homogenous ensemble methods on the classification of breast cancer data

• Main Authors: Nur Farahaina, Idris, Mohd Arfian, Ismail
• Format: Article
• Language: English
• Published: SIGMA BOT 2024
• Subjects: QA75 Electronic computers. Computer science; RC0254 Neoplasms. Tumors. Oncology (including Cancer)
• Online Access: http://umpir.ump.edu.my/id/eprint/40124/1/A%20review%20of%20homogenous%20ensemble%20methods.pdf; http://umpir.ump.edu.my/id/eprint/40124/; http://pe.org.pl/abstract_pl.php?nid=14124&lang=1; http://pe.org.pl/articles/2024/1/21.pdf

In the last decades, emerging data mining technology has been introduced to assist humankind in generating relevant decisions. Data mining is a concept established by computer scientists to lead a secure and reliable classification and deduction of data. In the medical field, data mining methods can...