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From Context to Distance: Learning Dissimilarity for Categorical Data Clustering.

, , and . ACM Trans. Knowl. Discov. Data, 6 (1): 1:1-1:25 (2012)

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Anonymity preserving sequential pattern mining., , , and . Artif. Intell. Law, 22 (2): 141-173 (2014)Enhancing Graph-Based Semisupervised Learning via Knowledge-Aware Data Embedding., and . IEEE Trans. Neural Networks Learn. Syst., 31 (11): 5014-5020 (2020)Enhancing Privacy Awareness in Online Social Networks: a Knowledge-Driven Approach.. CIKM Workshops, volume 2482 of CEUR Workshop Proceedings, CEUR-WS.org, (2018)A privacy self-assessment framework for online social networks., and . Expert Syst. Appl., (2017)Parameter-Free Hierarchical Co-clustering by n-Ary Splits., , and . ECML/PKDD (1), volume 5781 of Lecture Notes in Computer Science, page 580-595. Springer, (2009)Clustering Formal Concepts to Discover Biologically Relevant Knowledge from Gene Expression Data., , , , , and . In Silico Biology, 7 (4-5): 467-483 (2007)Supporting bi-cluster interpretation in 0/1 data by means of local patterns., , and . Intell. Data Anal., 10 (5): 457-472 (2006)Impact of Neighbors on the Privacy of Individuals in Online Social Networks., and . ICCS, volume 108 of Procedia Computer Science, page 28-37. Elsevier, (2017)Fair Semi-supervised Representation Learning for Tabular Data Classification., , , , and . SEBD, volume 3478 of CEUR Workshop Proceedings, page 488-496. CEUR-WS.org, (2023)DP-DILCA: Learning Differentially Private Context-based Distances for Categorical Data (Discussion Paper)., and . SEBD, volume 2994 of CEUR Workshop Proceedings, page 482-489. CEUR-WS.org, (2021)