GSM churn management using an adaptive neuro-fuzzy inference system

Adem Karahoca; Dilek Karahoca; Nizamettin Aydin

doi:10.1109/IPC.2007.119

GSM churn management using an adaptive neuro-fuzzy inference system

Adem Karahoca^*
, Dilek Karahoca
, Nizamettin Aydin

^*Bu çalışma için yazışmadan sorumlu yazar

Bahcesehir University

Araştırma çıktısı: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › Hakem

3 Atıf (Scopus)

Özet

The movement of subscribers from one operator to another operator is named as churn management for looking for better and cheaper products and services. As markets become saturated and competition intensifies, customers have more choices to take promotions from alternative telecom operators in Turkish GSM (Global Services of Mobile Communications) sector. This study compares various data mining techniques to obtain best practical solution for churning customer detection. Test results offer the Adaptive Neuro Fuzzy Inference System (ANFIS) as a means to efficient churn management methodology. The test bed results show that ANFIS provides 85% of sensitivity with 88% of specificity where it classified 80% of the instances correctly.

Orijinal dil	İngilizce
Ana bilgisayar yayını başlığı	Proceedings The 2007 International Conference on Intelligent Pervasive Computing, IPC 2007
Sayfalar	323-326
Sayfa sayısı	4
DOI'lar	https://doi.org/10.1109/IPC.2007.119
Yayın durumu	Yayınlandı - 2007
Harici olarak yayınlandı	Evet
Etkinlik	2007 International Conference on Intelligent Pervasive Computing, IPC 2007 - Jeju Island, Korea, Republic of Süre: 11 Eki 2007 → 13 Eki 2007

Yayın serisi

Adı	Proceedings The 2007 International Conference on Intelligent Pervasive Computing, IPC 2007

???event.eventtypes.event.conference???

???event.eventtypes.event.conference???	2007 International Conference on Intelligent Pervasive Computing, IPC 2007
Ülke/Bölge	Korea, Republic of
Şehir	Jeju Island
Periyot	11/10/07 → 13/10/07

Belgeye Erişim

10.1109/IPC.2007.119

Diğer Dosyalar ve Linkler

Link to publication in Scopus

Alıntı Yap

Karahoca, A., Karahoca, D., & Aydin, N. (2007). GSM churn management using an adaptive neuro-fuzzy inference system. In Proceedings The 2007 International Conference on Intelligent Pervasive Computing, IPC 2007 (pp. 323-326). Makale 4438449 (Proceedings The 2007 International Conference on Intelligent Pervasive Computing, IPC 2007). https://doi.org/10.1109/IPC.2007.119

@inproceedings{94902828319345e4a1a549be0e942f82,

title = "GSM churn management using an adaptive neuro-fuzzy inference system",

abstract = "The movement of subscribers from one operator to another operator is named as churn management for looking for better and cheaper products and services. As markets become saturated and competition intensifies, customers have more choices to take promotions from alternative telecom operators in Turkish GSM (Global Services of Mobile Communications) sector. This study compares various data mining techniques to obtain best practical solution for churning customer detection. Test results offer the Adaptive Neuro Fuzzy Inference System (ANFIS) as a means to efficient churn management methodology. The test bed results show that ANFIS provides 85\% of sensitivity with 88\% of specificity where it classified 80\% of the instances correctly.",

author = "Adem Karahoca and Dilek Karahoca and Nizamettin Aydin",

year = "2007",

doi = "10.1109/IPC.2007.119",

language = "English",

isbn = "0769530060",

series = "Proceedings The 2007 International Conference on Intelligent Pervasive Computing, IPC 2007",

pages = "323--326",

booktitle = "Proceedings The 2007 International Conference on Intelligent Pervasive Computing, IPC 2007",

note = "2007 International Conference on Intelligent Pervasive Computing, IPC 2007 ; Conference date: 11-10-2007 Through 13-10-2007",

}

Karahoca, A, Karahoca, D & Aydin, N 2007, GSM churn management using an adaptive neuro-fuzzy inference system. in Proceedings The 2007 International Conference on Intelligent Pervasive Computing, IPC 2007., 4438449, Proceedings The 2007 International Conference on Intelligent Pervasive Computing, IPC 2007, pp. 323-326, 2007 International Conference on Intelligent Pervasive Computing, IPC 2007, Jeju Island, Korea, Republic of, 11/10/07. https://doi.org/10.1109/IPC.2007.119

GSM churn management using an adaptive neuro-fuzzy inference system. / Karahoca, Adem; Karahoca, Dilek; Aydin, Nizamettin.
Proceedings The 2007 International Conference on Intelligent Pervasive Computing, IPC 2007. 2007. p. 323-326 4438449 (Proceedings The 2007 International Conference on Intelligent Pervasive Computing, IPC 2007).

Araştırma çıktısı: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › Hakem

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N2 - The movement of subscribers from one operator to another operator is named as churn management for looking for better and cheaper products and services. As markets become saturated and competition intensifies, customers have more choices to take promotions from alternative telecom operators in Turkish GSM (Global Services of Mobile Communications) sector. This study compares various data mining techniques to obtain best practical solution for churning customer detection. Test results offer the Adaptive Neuro Fuzzy Inference System (ANFIS) as a means to efficient churn management methodology. The test bed results show that ANFIS provides 85% of sensitivity with 88% of specificity where it classified 80% of the instances correctly.

AB - The movement of subscribers from one operator to another operator is named as churn management for looking for better and cheaper products and services. As markets become saturated and competition intensifies, customers have more choices to take promotions from alternative telecom operators in Turkish GSM (Global Services of Mobile Communications) sector. This study compares various data mining techniques to obtain best practical solution for churning customer detection. Test results offer the Adaptive Neuro Fuzzy Inference System (ANFIS) as a means to efficient churn management methodology. The test bed results show that ANFIS provides 85% of sensitivity with 88% of specificity where it classified 80% of the instances correctly.

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DO - 10.1109/IPC.2007.119

M3 - Conference contribution

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SN - 0769530060

SN - 9780769530062

T3 - Proceedings The 2007 International Conference on Intelligent Pervasive Computing, IPC 2007

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BT - Proceedings The 2007 International Conference on Intelligent Pervasive Computing, IPC 2007

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Y2 - 11 October 2007 through 13 October 2007

ER -

GSM churn management using an adaptive neuro-fuzzy inference system

Özet

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Belgeye Erişim

Diğer Dosyalar ve Linkler

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