A Comprehensive and Relative Study of Detecting Deformed Identity Crime With Different Classifier Algorithms and Multilayer Mining Algorithm

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Provided by: International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE)
Topic: Big Data
Format: PDF
Now-a-days, identity crime is well known, prevalent and prominent in the user society. There are some algorithms which have been implemented to detect or resolve resilience identity. The existing data mining and non data mining algorithm and known fraud matching have some limitation. To achieve a complete and transparent view of different resilience identity crime detection system a comparative study and approach is a prime focus of this paper. Here, different classifiers algorithm are compared with data mining based algorithm with multilayer mining stage of defense to probe the synthetic identity crime.
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