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Mining Overlapping Communities and Inner Role Assignments through Bayesian Mixed-Membership Models of Networks with Context-Dependent Interactions.

, and . ACM Trans. Knowl. Discov. Data, 12 (2): 18:1-18:32 (2018)

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