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Veena et al., 2022 - Google Patents

Cybercrime: identification and prediction using machine learning techniques

Veena et al., 2022

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Document ID
6877403977826694972
Author
Veena K
Meena K
Kuppusamy R
Teekaraman Y
Angadi R
Thelkar A
Publication year
Publication venue
Computational Intelligence and Neuroscience

External Links

Snippet

In the world of cyber age, cybercrime is spreading its root extensively. Supervised classification methods such as the support vector machine (SVM) and K‐nearest neighbor (KNN) models are employed for the classification of cybercrime data. Likewise, the …
Continue reading at onlinelibrary.wiley.com (PDF) (other versions)

Classifications

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    • G06K9/62—Methods or arrangements for recognition using electronic means
    • G06K9/6267—Classification techniques
    • G06K9/6279—Classification techniques relating to the number of classes
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    • G06K9/6268—Classification techniques relating to the classification paradigm, e.g. parametric or non-parametric approaches
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