DocumentCode
2305634
Title
The Comparative Analysis and Study of Mobile-Based Customer Data Churn Prediction Model
Author
Lei Jin-hui ; He Jian-jun
Author_Institution
Kunming Univ. of Sci. & Technol., Kunming, China
Volume
4
fYear
2009
fDate
19-21 May 2009
Firstpage
524
Lastpage
528
Abstract
This paper combined the characteristic of mobile customers churn data, through compare, point out the problem of existing forecast model and the deficiency of traditional vector machine in forecast model. Aimed at the problem of mobile customers churn, established supporting vector machine forecasting model based on ICSVM arithmetic. Through mobile customer data set testing, compare this model to traditional model, this model more adapt to resolve large data set and imbalance data, acquire better customer churn forecasting effect.
Keywords
customer services; forecasting theory; support vector machines; ICSVM arithmetic; comparative analysis; mobile-based customer data churn prediction model; supporting vector machine forecasting model; Algorithm design and analysis; Costs; Data mining; Decision trees; Economic forecasting; Mobile communication; Neural networks; Pattern analysis; Predictive models; Technology forecasting;
fLanguage
English
Publisher
ieee
Conference_Titel
Software Engineering, 2009. WCSE '09. WRI World Congress on
Conference_Location
Xiamen
Print_ISBN
978-0-7695-3570-8
Type
conf
DOI
10.1109/WCSE.2009.281
Filename
5319613
Link To Document