The Importance of Multidisciplinary in Data Science: Application of the Method in Health Sector to Telecommunication Sector

Kurt K. K., Atay H. T., Cicek M. A., Karaca S. B., Türkeli S.

2019 International Conference on Artificial Intelligence and Data Processing Symposium, IDAP 2019, Malatya, Türkiye, 21 - 22 Eylül 2019 identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Cilt numarası:
  • Doi Numarası: 10.1109/idap.2019.8875917
  • Basıldığı Şehir: Malatya
  • Basıldığı Ülke: Türkiye
  • Marmara Üniversitesi Adresli: Hayır

Özet

© 2019 IEEE.The aim of this article is to reveal the importance of multi-disciplinary perspective in data science. For this aim, the authors applied the survival analysis method developed in the health sector to the telecommunication sector data. As a result of the inadequacy of traditional data science methods on the data obtained, the authors have searched for different methods and the authors who have a master's degree in biomedical studies were found similarity between churn and survival. With this paper, we try to prove the benefit of being multi-disciplinary who want to study data science.