Open AccessLearning trends in customer churn with rule-based and kernel methods
Author(s) -
Nahier Aldhafferi,
Abdullah Alqahtani,
Fatema Shaikh,
Sunday O. Olatunji,
Abdullah Almurayh,
Fahad AlGhamdi,
Ghalib H. Alshammri,
Amani K. Samha,
Mutasem K. Alsmadi,
Hayat Alfagham,
Abderrazak Ben Salah
Publication year - 2022
Publication title -
international journal of power electronics and drive systems/international journal of electrical and computer engineering
Language(s) - English
Resource type - Journals
eISSN - 2722-2578
pISSN - 2722-256X
DOI - 10.11591/ijece.v12i5.pp5364-5374
Subject(s) - churning , computer science , support vector machine , decision tree , hyperplane , machine learning , feature (linguistics) , division (mathematics) , artificial intelligence , set (abstract data type) , kernel (algebra) , data mining , decision rule , marketing , business , mathematics , economics , linguistics , philosophy , geometry , arithmetic , labour economics , combinatorics , programming language