Open AccessAnalysis of Churn Rate Significantly Factors in Telecommunication Industry Using Support Vector Machines Method
Author(s) -
Sharifah Hafizah Syed Arifin,
Febriliyan Samopa
Publication year - 2018
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1108/1/012018
Subject(s) - profiling (computer programming) , support vector machine , computer science , variables , variable (mathematics) , telecommunications , data mining , statistics , artificial intelligence , machine learning , mathematics , operating system , mathematical analysis