A Cost-Effective Technique to Avoid Communication and Computation Overhead in Vehicle Insurance Database for Online Record Monitoring

The study focuses on the information from heterogeneous data sources in online vehicle insurance record linkage. It resolves several types of heterogeneity problems that arise, when the same real-world entity type is represented using different identifiers in multiple data sources. Statistical vehicle insurance data record linkage techniques are used to resolve the problem. These techniques are used in vehicle insurance online record linkage, which creates good communication bottleneck in the distributed platform. It was projected by the Identical Tree and Decision Tree. And, to reduce the communication barriers, it is significantly pointed while matching with the decisions that are guaranteed to be same as those obtained victimizations with the standard linkage technique. The sequential record linkages along with matching tree using tree-based linkage techniques are used to improvised the accuracy of record linkage technique and reduce the communication overhead in Vehicle insurance Database.