SVM classifier for telecom user arrears based on boundary samples-based under-sampling approaches
Telecom users’ arrears forecasting is a classification problem of unbalanced data set.To deal with the problem that the traditional SVM on the unbalanced date set had a low detection accuracy of minority class,a novel method was proposed.Based on the fact that the position of classification plane wa...
Saved in:
Main Authors: | Chuangchuang LI, Guangyue LU, Hanglong WANG |
---|---|
Format: | Article |
Language: | zho |
Published: |
Beijing Xintong Media Co., Ltd
2017-09-01
|
Series: | Dianxin kexue |
Subjects: | |
Online Access: | http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2017208/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Arrears behavior prediction of power users based on BP neural network and multi-scale feature learning: a refined risk assessment framework
by: Liang Yu, et al.
Published: (2025-01-01) -
An Efficient Dual-Sampling Approach for Chest CT Diagnosis
by: Alshamrani K, et al.
Published: (2025-01-01) -
Exploring the barriers to cervical screening and perspectives on new self-sampling methods amongst under-served groups
by: Stephanie Gillibrand, et al.
Published: (2025-01-01) -
Biological samples for examination: concepts, conditions, sampling tactics
by: M. H. Shcherbakovskyi, et al.
Published: (2024-06-01) -
Advanced Credit Card Fraud Detection: An Ensemble Learning Using Random Under Sampling and Two-Stage Thresholding
by: Ibrahim Almubark
Published: (2024-01-01)