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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)Overlapping communities and roles in networks with node attributes: Probabilistic graphical modeling, Bayesian formulation and variational inference., and . Artif. Intell., (2022)Hierarchical Bayesian text modeling for the unsupervised joint analysis of latent topics and semantic clusters., and . Int. J. Approx. Reason., (2022)Rule-Based Detection of Anomalous Patterns in Device Behavior for Explainable IoT Security., , and . IEEE Trans. Serv. Comput., 16 (6): 4514-4525 (November 2023)Model-Based Collaborative Personalized Recommendation on Signed Social Rating Networks., and . ACM Trans. Internet Techn., 16 (3): 20:1-20:21 (2016)Mining Clusters in XML Corpora Based on Bayesian Generative Topic Modeling., and . ICMLA, page 515-520. IEEE, (2015)A Tree-Based Approach to Clustering XML Documents by Structure., , , and . PKDD, volume 3202 of Lecture Notes in Computer Science, page 137-148. Springer, (2004)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)Marrying Community Discovery and Role Analysis in Social Media via Topic Modeling., and . PAKDD (2), volume 10938 of Lecture Notes in Computer Science, page 80-91. Springer, (2018)