MLP for Customer Relationship Management
Publish place: The first international conference of modern research engineers in electricity and computer
Publish Year: 1395
نوع سند: مقاله کنفرانسی
زبان: English
View: 977
This Paper With 6 Page And PDF Format Ready To Download
- Certificate
- من نویسنده این مقاله هستم
این Paper در بخشهای موضوعی زیر دسته بندی شده است:
استخراج به نرم افزارهای پژوهشی:
شناسه ملی سند علمی:
CBCONF01_0565
تاریخ نمایه سازی: 16 شهریور 1395
Abstract:
Customer Relationship Management (CRM) is a term for the strategies, methodologies and tools that help businesses in managing customer relationships in an effective way. Data Mining has an important role in extracting the detail information from a large number of customer databases. By using MLP (Multi-Layer Perceptron) Neural Networks for CRM, companies and organizations can achieved advantages in business. This paper is to study the effectiveness of MLP on the bank direct marketing and two classification models, Logistic Regression (LR) and MLP are found effective. The experimental results show that MLP and LR achieved an accuracy of 95.70% and 91.06% respectively, where MLP was more accurate than LR in predicting customer behaviors.
Keywords:
Customer Relationship Management , Bank Direct Marketing , Data Mining , Multi-Layer Perceptron Neural Network , Logistic Regression
Authors
Marziyeh Ajorloo
MSc. Student, Dept. of Computer Engineering Damavand Branch, Islamic Azad University Tehran, Iran
Fatemeh Safara
Faculty Member: Dept. of Faculty Member Islamshahr Branch, Islamic Azad University Tehran, Iran