Tanimoto Based Similarity Measure for Intrusion Detection System

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Journal of Information Security

ISSN Print: 2153-1234
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"Tanimoto Based Similarity Measure for Intrusion Detection System"
written by Alok Sharma, Sunil Pranit Lal,
published by Journal of Information Security, Vol.2 No.4, 2011

has been cited by the following article(s):

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[1]	graphLambda: Fusion Graph Neural Networks for Binding Affinity Prediction Journal of Chemical Information and Modeling, 2024 DOI:10.1021/acs.jcim.3c00771

[2]	graphLambda: Fusion Graph Neural Networks for Binding Affinity Prediction Journal of Chemical Information and Modeling, 2024 DOI:10.1021/acs.jcim.3c00771

[3]	Ridge Regularized Imputed Scaled Clipping Normalization Based Pre-processing for Marine Weather Forecasting International Journal of Computer Theory and Engineering, 2023 DOI:10.7763/IJCTE.2023.V15.1333

[4]	Application of deep learning and molecular modeling to identify small drug-like compounds as potential HIV-1 entry inhibitors Journal of Biomolecular Structure and Dynamics, 2022 DOI:10.1080/07391102.2021.1905559

[5]	Innovations in Smart Cities Applications Edition 3 Lecture Notes in Intelligent Transportation and Infrastructure, 2020 DOI:10.1007/978-3-030-37629-1_38

[6]	A spatial neighborhood methodology for computing and analyzing lymph node carcinoma similarity in precision medicine Journal of Biomedical Informatics, 2020 DOI:10.1016/j.yjbinx.2020.100067

[7]	Biological networks analysis, analytical approaches and use case on protein-protein network interactions Proceedings of the 4th International Conference on Smart City Applications, 2019 DOI:10.1145/3368756.3368996

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[9]	Biological networks analysis, analytical approaches and use case on protein-protein network interactions Proceedings of the 4th International Conference on Smart City Applications, 2019 DOI:10.1145/3368756.3368996

[10]	A comparison of similarity measures for online social media Thai text classification 2015 12th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON), 2015 DOI:10.1109/ECTICon.2015.7207106

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