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1
An Insight into Machine Learning Techniques to Detect Anoma..:
, In:
2023 6th International Conference on Information Systems and Computer Networks (ISCON)
,
Kumar, Pradeep
;
Kumar, Ajay
;
Banerjee, Kakoli
... - p. 1-6 , 2023
Link:
https://doi.org/10.1109/ISCON57294.2023.10112179
RT T1 <cTitle>2023 6th International Conference on Information Systems and Computer Networks (ISCON)</cTitle>: T1 <Title>An Insight into Machine Learning Techniques to Detect Anomalous Users</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10112179&Exemplar=1&LAN=DE A1 Kumar, Pradeep A1 Kumar, Ajay A1 Banerjee, Kakoli A1 Paharia, Ayush A1 Singh, Arushi A1 Chaudhary, Anushka YR 2023 SN 2832-143X K1 Support vector machines K1 Deep learning K1 Machine learning algorithms K1 Social networking (online) K1 Forestry K1 Computer networks K1 Ensemble learning K1 Cyber security K1 machine learning K1 abnormal behaviour detection K1 user profiling K1 account classification K1 RF (Random Forest) K1 DT (Decision Tree) K1 anomaly detection K1 SVM (Support Vector Machine) SP 1 OP 6 LK http://dx.doi.org/https://doi.org/10.1109/ISCON57294.2023.10112179 DO https://doi.org/10.1109/ISCON57294.2023.10112179 SF ELIB - SuUB Bremen
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