A general framework based on dynamic multi-objective evolutionary algorithms for handling feature drifts on data streams

Sahmoud S., TOPCUOĞLU H. R.

Future Generation Computer Systems, cilt.102, ss.42-52, 2020 (SCI-Expanded, Scopus)

• Yayın Türü: Makale / Tam Makale
• Cilt numarası: 102
• Basım Tarihi: 2020
• Doi Numarası: 10.1016/j.future.2019.07.069
• Dergi Adı: Future Generation Computer Systems
• Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Applied Science & Technology Source, Business Source Elite, Business Source Premier, Compendex, Computer & Applied Sciences, INSPEC, zbMATH
• Sayfa Sayıları: ss.42-52
• Anahtar Kelimeler: Feature drift, Classification of data streams, Dynamic multi-objective evolutionary algorithms, Filter-based feature selection, FEATURE-SELECTION, OPTIMIZATION, PREDICTION
• Marmara Üniversitesi Adresli: Evet