{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,11]],"date-time":"2026-06-11T23:02:53Z","timestamp":1781218973637,"version":"3.54.1"},"reference-count":26,"publisher":"Association for Computing Machinery (ACM)","issue":"2","license":[{"start":{"date-parts":[[2010,5,27]],"date-time":"2010-05-27T00:00:00Z","timestamp":1274918400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":["SIGKDD Explor. Newsl."],"published-print":{"date-parts":[[2010,5,27]]},"abstract":"<jats:p>The aim of this work is to survey and reflect on the various ways visualization and data mining can be integrated to achieve effective knowledge discovery by involving the best of human and machine capabilities. Following a bottom-up bibliographic research approach, the article categorizes the observed techniques in classes, highlighting current trends, gaps, and potential future directions for research. In particular it looks at strengths and weaknesses of information visualization (infovis) and data mining, and for which purposes researchers in infovis use data mining techniques and reversely how researchers in data mining employ infovis techniques. The article then proposes, on the basis of the extracted patterns, a series of potential extensions not found in literature. Finally, we use this information to analyze the discovery process by comparing the analysis steps from the perspective of information visualization and data mining. The comparison brings to light new perspectives on how mining and visualization can best employ human and machine strengths. This activity leads to a series of reflections and research questions that can help to further advance the science of visual analytics.<\/jats:p>","DOI":"10.1145\/1809400.1809404","type":"journal-article","created":{"date-parts":[[2010,6,1]],"date-time":"2010-06-01T12:21:35Z","timestamp":1275394895000},"page":"9-18","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":43,"title":["Investigating and reflecting on the integration of automatic data analysis and visualization in knowledge discovery"],"prefix":"10.1145","volume":"11","author":[{"given":"Enrico","family":"Bertini","sequence":"first","affiliation":[{"name":"Universit\u00e9 de Fribourg, Fribourg, Switzerland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Denis","family":"Lalanne","sequence":"additional","affiliation":[{"name":"Universit\u00e9 de Fribourg, Fribourg, Switzerland"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2010,5,27]]},"reference":[{"key":"e_1_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1145\/604045.604056"},{"key":"e_1_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.5555\/514412.514417"},{"key":"e_1_2_1_3_1","volume-title":"Illuminating the path: The research and development agenda for visual analytics","author":"Thomas J.J.","year":"2005","unstructured":"J.J. Thomas and K.A. Cook , Illuminating the path: The research and development agenda for visual analytics , IEEE , 2005 . J.J. Thomas and K.A. Cook, Illuminating the path: The research and development agenda for visual analytics, IEEE, 2005."},{"key":"e_1_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-71080-6_6"},{"key":"e_1_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1057\/palgrave.ivs.9500025"},{"key":"e_1_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1057\/palgrave.ivs.9500040"},{"key":"e_1_2_1_7_1","volume-title":"Spacing and Filtering for Exploration of High Dimensional Datasets","author":"Yang P.","year":"2003","unstructured":"P. Yang , \" Interactive Hierarchical Dimension Ordering , Spacing and Filtering for Exploration of High Dimensional Datasets ,\" Oct. 2003 . P. Yang, \"Interactive Hierarchical Dimension Ordering, Spacing and Filtering for Exploration of High Dimensional Datasets,\" Oct. 2003."},{"key":"e_1_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.5555\/1038262.1038787"},{"key":"e_1_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1109\/INFOVIS.2005.39"},{"key":"e_1_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1109\/INFOVIS.2005.30"},{"key":"e_1_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1145\/1081870.1081886"},{"key":"e_1_2_1_12_1","first-page":"105","volume-title":"IEEE Symposium on","author":"Wong Pak Chung","year":"2000","unstructured":"Pak Chung Wong , W. Cowley , H. Foote , E. Jurrus , and J. Thomas , \" Visualizing sequential patterns for text mining,\" Information Visualization, 2000. InfoVis 2000 . IEEE Symposium on , 2000 , pp. 105 -- 111 . Pak Chung Wong, W. Cowley, H. Foote, E. Jurrus, and J. Thomas, \"Visualizing sequential patterns for text mining,\" Information Visualization, 2000. InfoVis 2000. 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Pirolli and S. Card , \" The sensemaking process and leverage points for analyst technology as identified through cognitive task analysis,\" Proceedings of International Conference on Intelligence Analysis , 2005 . P. Pirolli and S. Card, \"The sensemaking process and leverage points for analyst technology as identified through cognitive task analysis,\" Proceedings of International Conference on Intelligence Analysis, 2005."},{"key":"e_1_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.1145\/22949.22950"},{"key":"e_1_2_1_26_1","unstructured":"D. Keim \"Visual Analytics: Combining Automated Discovery with Interactive Visualizations. (Invited Talk at VAKD'09 - http:\/\/www.hiit.fi\/vakd09\/keim.html).\"  D. Keim \"Visual Analytics: Combining Automated Discovery with Interactive Visualizations. 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