Application of interval type-2 fuzzy logic and type-1 fuzzy logic-based approaches to social networks for spam detection with combined feature capabilities

Atacak İ., Çıtlak O., Doğru İ. A.

PEERJ COMPUTER SCIENCE, cilt.9, ss.1-34, 2023 (SCI-Expanded) identifier identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 9
  • Basım Tarihi: 2023
  • Doi Numarası: 10.7717/peerj-cs.1316
  • Dergi Adı: PEERJ COMPUTER SCIENCE
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Compendex, Directory of Open Access Journals
  • Sayfa Sayıları: ss.1-34
  • Anahtar Kelimeler: Interval type-2 fuzzy logic, Type-1 fuzzy logic, Machine learning, Social network, Spam detection
  • Gazi Üniversitesi Adresli: Evet