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- W3048586249 abstract "This chapter discusses entire approach of proposed framework CSRC, the emphasis is placed on the support vector machine and K-nearest neighbour’s classification approach which depicts how this technique is used for improving classification accuracy. The entire approach with the discussion of the different algorithms used followed by testing the entire system based on parameters such as false positive (FP), false negative (FN), true positive (TP), true negative (TN), recall and precision which are used to evaluate the performance of the proposed work are discussed." @default.
- W3048586249 created "2020-08-18" @default.
- W3048586249 creator A5059340793 @default.
- W3048586249 date "2020-08-11" @default.
- W3048586249 modified "2023-10-17" @default.
- W3048586249 title "Experimentation and Result Discussion" @default.
- W3048586249 cites W2014802425 @default.
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- W3048586249 doi "https://doi.org/10.1007/978-3-030-53047-1_7" @default.
- W3048586249 hasPublicationYear "2020" @default.
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