Müşteri Kayıplarının Tahmini Üzerine Bir Veri Madenciliği Uygulaması
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Date
2022
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Abstract
Müşteri memnuniyeti ve sadakati uygun fiyat ürün çeşitliliği hızlı tedarik ve sevkiyat ürün kalitesi satış öncesi ve sonrası hizmetler ve müşteri davranışlarının analiz edilmesi ile sağlanır. Müşteri davranışlarını analiz eden işletmeler hem mevcut müşterilerini koruyabilir hem de yenilerini kazanabilir. Bu çalışmanın amacı işletmeleri terk etme ihtimali olan müşterileri tahmin edebilen gözetimli modeller üretmektir. Bu amaçla toplamda 21 sınıflandırma yöntemi ve telekomünikasyon bankacılık ve e–ticaret sektörlerine ait veri kümeleri kullanılarak deney çalışmaları gerçekleştirilmiştir. Ayrıca işletmelerin harcama alışkanlıklarına göre müşterileri sıralamak ve sınıflandırmak için kullandıkları basit ama etkili bir pazarlama analiz aracı olan RFM (Recency Frequency Monetary Value) bölümlemesi Ki-Kare Testi ile birlikte boyut indirgeme metodu olarak kullanılmıştır. Böylelikle optimal eleman sayısına sahip öznitelik altkümelerinin elde edilmesi ve öznitelik seçim öncesi ve sonrası model performanslarının kıyaslanması hedeflenmiştir.
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Keywords
Bilgisayar Bilimleri- Yazılım Mühendisliği-Bilgi- Belge Yönetimi-İşletme, Bilgisayar Bilimleri, Yazılım Mühendisliği, İşletme, Bilgi, Belge Yönetimi, Engineering, Mühendislik, Knowledge Discovery in Databases (KDD);Data Mining;RFM Segmentation;Feature Selection;Dimension Reduction;Classification, Veri Tabanlarında Bilgi Keşfi (VTBK);Veri Madenciliği;RFM Bölümlemesi;Öznitelik Seçimi;Sınıflandırma
Fields of Science
0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology
Citation
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Deu Muhendislik Fakultesi Fen ve Muhendislik
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