Audit Analysis of Abnormal Behavior of Social Security Fund Based on Adaptive Spectral Clustering Algorithm
Abnormal behavior detection of social security funds is a method to analyze large-scale data and find abnormal behavior. Although many methods based on spectral clustering have achieved many good results in the practical application of clustering, the research on the spectral clustering algorithm is...
Saved in:
Main Authors: | Yan Wu, Yonghong Chen, Wenhao Ling |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2021-01-01
|
Series: | Complexity |
Online Access: | http://dx.doi.org/10.1155/2021/4969233 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Retracted: Construction of Social Security Fund Cloud Audit Platform Based on Fuzzy Data Mining Algorithm
by: null Complexity
Published: (2023-01-01) -
Earnings Persistence and Abnormal Audit Fees
by: Xiaohui Zhou, et al.
Published: (2022-01-01) -
Risk Prediction Algorithm of Social Security Fund Operation Based on RBF Neural Network
by: Linxuan Yang
Published: (2021-01-01) -
Retracted: Risk Prediction Algorithm of Social Security Fund Operation Based on RBF Neural Network
by: International Journal of Antennas and Propagation
Published: (2024-01-01) -
Social Network Community Detection Using Agglomerative Spectral Clustering
by: Ulzii-Utas Narantsatsralt, et al.
Published: (2017-01-01)