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Query Representation and Management in a Multiparadigmatic Visual Query Environment., , and . J. Intell. Inf. Syst., 3 (3/4): 299-330 (1994)VidaMine: a visual data mining environment., , , , and . J. Vis. Lang. Comput., 15 (1): 37-67 (2004)An Ontology Based Visual Tool for Query Formulation Support., , , , , and . ECAI, page 308-312. IOS Press, (2004)Comparative Ease of Use of a Diagrammatic vs. an Iconic Query Language., , , and . IDS, page 4. Springer, (1996)Reducing InfoVis cluttering through non uniform sampling, displacement, and user perception., , and . Visualization and Data Analysis, volume 6060 of SPIE Proceedings, page 60600L. SPIE, (2006)A visual data mining environment: metaqueries and association rules., , and . AVI, page 247-250. ACM, (2002)BELIV'06: beyond time and errors; novel evaluation methods for information visualization., , and . Interactions, 14 (3): 59-60 (2007)Assessment of software architectures: a case study., , , and . SEKE, page 699-706. ACM, (2002)Visual Analytics for Information Retrieval Evaluation (VAIRË 2015)., , , and . ECIR, volume 9022 of Lecture Notes in Computer Science, page 809-812. (2015)The Human User in Progressive Visual Analytics., , , , , , , and . EuroVis (Short Papers), page 19-23. Eurographics Association, (2019)