Machine Learning Algorithms for Identifying Fake Currencies

Author:

Chandrappa S.ORCID,Chandra Shekar P.,Chaya P.,Dharmanna L.,Guruprasad M. S.

Publisher

Springer Science and Business Media LLC

Subject

Computer Science Applications,Computer Networks and Communications,Computer Graphics and Computer-Aided Design,Computational Theory and Mathematics,Artificial Intelligence,General Computer Science

Reference12 articles.

1. Liu L, Lu Y. An image-based approach to detection of fake coins. IEEE Trans Inf Forens Secur. 2017. https://doi.org/10.1109/TIFS.2017.2656478.

2. Liu J, Tian Z, Liu P, Jiang J. An approach of semantic web service classification based on Naive Bayes. In: 2016 IEEE International Conference on Services Computing. 2016.

3. Tang B, Kay S, He H. Toward optimal feature selection in naive bayes for text categorization. IEEE Trans Knowl Data Eng. 2016. https://doi.org/10.1109/TKDE.2016.2563436.

4. Pandit A, Naoghare M. Efficiently harvesting deep web interface with reranking and clustering. Int J Adv Res Comput Commun Eng. 2016;5(1):263–265.

5. Kumar A, Kumar R, Nigle S, Shahakar M. Review on extracting the web data through deep web interfaces, mechanism. Int J Innov Res Comput Commun Eng. 2016;4(1):234–237.

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