0% Complete
English
صفحه اصلی
/
یازدهمین کنفرانس بین المللی فناوری اطلاعات و دانش
Effective Classifier for Predicting Churn in Payment Terminals Using RFM model and Deep Neural Network
نویسندگان :
Mahila Dadfarnia
1
Ali Alemi Matinpour
2
Monireh Abdoos
3
1- دانشگاه یزد
2- تربیت مدرس تهران
3- تربیت مدرس تهران
کلمات کلیدی :
Payment terminals, Churn prediction, RFM (recency, frequency and monetary), DNN (Deep Neural Network), Genetic Algorithms
چکیده :
In recent years, there is remarkable growing concern for marketing team to retain their customers. This can be achieved by predicting accurately ahead of time, whether a terminal for buying is valuable in the foreseeable future or not. This paper presents the application of Deep Neural Network in the issue of classifying the payment terminals in different branches of Parsian bank specifically. The paper uses real data for classifying various payment terminals in 6 classes of terminal by a 5 layer deep neural network and RFM model. The empirical results reveal that utilizing the deep network generate significantly better accuracy in comparison with other popular methods
لیست مقالات
لیست مقالات بایگانی شده
Advanced SMS Spam Detection using Deep Complex Models and Sine-Cosine Algorithm
Sepehr Rezaei - Mohammadreza Shams - Mohsen Alambardar Meybodi
Statistical Disorder Parameters Computing For Hyperspectral Image Anomaly Detection
Dr Maryam Imani
PersianRAG A Retrieval Augmented Generation System for Persian Language
Hossein Hosseini - Mohammad Sobhan Zare - Amir Hossein Mohammadi - Arefeh Kazemi - Zahra Zojaji - Mohammad Ali Nematbakhsh
A clonal selection mechanism for load balancing in the cloud computing system
Melika Mosayyebi - Reza Azmi
روش مهاجرت خوشهای برای بهبود بستربندی به مشتری در گردشکارهای بدون سرویسدهنده
محمدامین قسوری جهرمی - مهرداد آشتیانی - فاطمه بخشی
Smart City Standardized Evaluation :Use Case of Mashhad
Dr ُSeyed Mohammadreza Mirsarraf - Dr Alireza Yari - Dr Navid Zohdi - Ali Motevalizadeh
نقش دادههای آنلاین یونیفرمیتی و تحلیل آماری پیشرفته با ترکیب پایتون و پاوربیآی در بهبود کیفیت و فرآیند تولید تایر
دانیال قادری
OENMOP: Loss-Aware 4×4 and 5×5 and Scalable Non‑blocking Optical Switches Designed for Odd-Even Routing Algorithm for Chip-Scale Interconnection Networks
Negin Bagheri Renani - Elham Yaghoubi - Mina Mohammadirad
Low-Power Phase-Based Stochastic MAC for FPGA
Kooroush Manochehri - Amir arsalan Sakhtianchi - Mehrshad Khosraviani
A Nano-based High-Speed QCA circuit for Information Security with Image Masking
Saeid Seyedi - Hatam Abdoli
بیشتر
ثمین همایش، سامانه مدیریت کنفرانس ها و جشنواره ها - نگارش 44.5.0
