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FIRE: a two-level interactive visualization for deep exploration of association rules.

, , , , , , and . Int. J. Data Sci. Anal., 7 (3): 201-226 (2019)

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Managing discoveries in the visual analytics process., , , and . SIGKDD Explor., 9 (2): 22-29 (2007)Guest Editorial: InfoVis 2005., and . IEEE Trans. Vis. Comput. Graph., 12 (4): 535 (2006)Hierarchical exploration of large multivariate data sets., , and . Data Visualization: The State of the Art, page 201-212. Kluwer, (2003)FIRE: interactive visual support for parameter space-driven rule mining., , , , , and . CIKM, page 2447-2452. ACM, (2013)Clutter Reduction in Multi-Dimensional Data Visualization Using Dimension Reordering., , and . INFOVIS, page 89-96. IEEE Computer Society, (2004)Achieving High Freshness and Optimal Throughput in CPU-Limited Execution of Multi-join Continuous Queries., , and . BNCOD, volume 7051 of Lecture Notes in Computer Science, page 48-65. Springer, (2011)Generalized Hyper-cylinders: a Mechanism for Modeling and Visualizing N-D Objects., and . Scientific Visualization: Advanced Concepts, volume 1 of Dagstuhl Follow-Ups, Schloss Dagstuhl - Leibniz-Zentrum fuer Informatik, Germany, (2010)QoS: Quality Driven Data Abstraction Generation For Large Databases., , and . QDB, page 19-25. (2007)Visual Exploration of Stream Pattern Changes Using a Data-Driven Framework., , and . ISVC (2), volume 6454 of Lecture Notes in Computer Science, page 522-532. Springer, (2010)Multivariate Networks in the Life Sciences., , and . Multivariate Network Visualization, volume 8380 of Lecture Notes in Computer Science, page 61-73. Springer, (2013)