Concept Drift Evolution In Machine Learning Approaches: A Systematic Literature Review

• 主要な著者: Hashmani, M.A., Jameel, S.M., Rehman, M., Inoue, A.
• フォーマット: 論文
• 出版事項: Exeley Inc. 2020
• オンライン･アクセス: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85101082701&doi=10.21307%2fijssis-2020-029&partnerID=40&md5=50742a63c76aac5f02af91df2a5ed9ae; http://eprints.utp.edu.my/23350/

Concept Drift�s issue is a decisive problem of online machine learning, which causes massive performance degradation in the analysis. The Concept Drift is observed when data�s statistical properties vary at a different time step and deteriorate the trained model�s accuracy and make them ineffe...