This research studies the various clone detection methods to propose the novel clone detection technique. Clone Detection first parses the source code and then performs data mining with plan on the parsed code. All similar code segments are recognized and then irregularity recognition is performed. The whole process is executed in an issue of minutes. Outcomes are stored in a database for future use. Neural Network, SVM, Data mining are used to evaluate the performance of the system and the parameters FAR, FRR and accuracy are used.
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Code clone detection, SVM, Neural Network, Data mining, FAR, FRR, Accuracy.
