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Research on Renewal Probability Problem of Applying Clustering Method Under Big Data
- Source :
- 2021 IEEE International Conference on Consumer Electronics and Computer Engineering (ICCECE).
- Publication Year :
- 2021
- Publisher :
- IEEE, 2021.
-
Abstract
- Under the wave of the big data era, we need to analyze some data sets that cannot be captured and processed with conventional software tools within a certain time frame with new processing modes, so as to obtain stronger decision-making power and insight. In view of this, this paper uses a big data pattern matching algorithm to establish a SOM network (Self-Organizing feature Map) to calculate the probability of auto insurance renewal under the background of complex data. On the one hand, this research will increase the insurance renewal rate. In addition, it can provide advice and reference for the cultivation of auto insurance customer loyalty under the epidemic situation, and has a certain reference role for the development of my country’s insurance digitalization.
- Subjects :
- Computer science
business.industry
020208 electrical & electronic engineering
010401 analytical chemistry
Big data
02 engineering and technology
computer.software_genre
01 natural sciences
0104 chemical sciences
Loyalty business model
Software
0202 electrical engineering, electronic engineering, information engineering
Feature (machine learning)
Data mining
Cluster analysis
business
computer
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- 2021 IEEE International Conference on Consumer Electronics and Computer Engineering (ICCECE)
- Accession number :
- edsair.doi...........c7d5b7698a00cd47db67b93a0f806456