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Rule-Based Detection of Anomalous Patterns in Device Behavior for Explainable IoT Security., , и . IEEE Trans. Serv. Comput., 16 (6): 4514-4525 (ноября 2023)Overlapping communities and roles in networks with node attributes: Probabilistic graphical modeling, Bayesian formulation and variational inference., и . Artif. Intell., (2022)DAEDALUS: A knowledge discovery analysis framework for movement data., , , , , , , , и . SEBD, стр. 191-198. (2008)Characterizing Relationships through Co-clustering - A Probabilistic Approach., , , и . KDIR, стр. 64-73. SciTePress, (2011)Mining Clusters in XML Corpora Based on Bayesian Generative Topic Modeling., и . ICMLA, стр. 515-520. IEEE, (2015)Model-Based Collaborative Personalized Recommendation on Signed Social Rating Networks., и . ACM Trans. Internet Techn., 16 (3): 20:1-20:21 (2016)Overlapping Communities and Roles in Networks with Node Attributes: Probabilistic Graphical Modeling, Bayesian Formulation and Variational Inference (Extended Abstract)., и . IJCAI, стр. 5713-5717. ijcai.org, (2022)Rule Learning with Probabilistic Smoothing., , , , и . DaWaK, том 5691 из Lecture Notes in Computer Science, стр. 428-440. Springer, (2009)Marrying Community Discovery and Role Analysis in Social Media via Topic Modeling., и . PAKDD (2), том 10938 из Lecture Notes in Computer Science, стр. 80-91. Springer, (2018)Mining Cluster Patterns in XML Corpora via Latent Topic Models of Content and Structure., и . PAKDD (3), том 11441 из Lecture Notes in Computer Science, стр. 237-248. Springer, (2019)