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Spatio-Temporal Data Mining with Expected Distribution Domain Generalization Graphs.

, , , and . TIME, page 181-191. IEEE Computer Society, (2003)

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Bayesian Classification of Events for Task Labeling Using Workflow Models., and . Business Process Management Workshops, volume 17 of Lecture Notes in Business Information Processing, page 97-108. Springer, (2008)Discovering Structured Event Logs from Unstructured Audit Trails for Workflow Mining., , , , , , and . ISMIS, volume 5722 of Lecture Notes in Computer Science, page 442-452. Springer, (2009)Expectation Propagation in GenSpace Graphs for Summarization., , and . DaWaK, volume 4654 of Lecture Notes in Computer Science, page 449-458. Springer, (2007)ESRS: A Case Selection Algorithm Using Extended Similarity-based Rough Sets., and . ICDM, page 609-612. IEEE Computer Society, (2002)Finding Topics in Email Using Formal Concept Analysis and Fuzzy Membership Functions., , , , and . Canadian AI, volume 5032 of Lecture Notes in Computer Science, page 108-113. Springer, (2008)Efficient spatio-temporal data mining with GenSpace graphs., , , and . J. Appl. Log., 4 (2): 192-214 (2006)Privacy Measures for Free Text Documents: Bridging the Gap between Theory and Practice., , , and . TrustBus, volume 6863 of Lecture Notes in Computer Science, page 161-173. Springer, (2011)Automated Case Generation from Databases Using Similarity-Based Rough Approximation., and . MICAI, volume 2313 of Lecture Notes in Computer Science, page 311-320. Springer, (2002)Choosing the Right Lens: Finding What is Interesting in Data Mining., and . Quality Measures in Data Mining, volume 43 of Studies in Computational Intelligence, Springer, (2007)Finding Interesting Summaries in GenSpace Graphs Efficiently., and . Canadian AI, volume 3060 of Lecture Notes in Computer Science, page 89-104. Springer, (2004)