{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,3]],"date-time":"2026-05-03T03:17:45Z","timestamp":1777778265363,"version":"3.51.4"},"reference-count":40,"publisher":"SAGE Publications","issue":"2","license":[{"start":{"date-parts":[[2003,6,1]],"date-time":"2003-06-01T00:00:00Z","timestamp":1054425600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Information Visualization"],"published-print":{"date-parts":[[2003,6]]},"abstract":"<jats:p>We briefly introduce an interactive visualization model, RuleViz, for knowledge discovery and data mining, which consists of five components: data preparation and visualization, interactive data reduction, data preprocessing, pattern discovery, and pattern visualization. With this model, the implementation issues are considered and three implementation paradigms, including image-based paradigm, algorithm-embedded paradigm, and interaction-driven paradigm, are discussed. We implement an interactive visualization system, AViz, which discovers 3D numerical association rules from large data sets based on the image-based paradigm. The framework of the AViz system is presented and each component is explored. To discretize numerical attributes, three approaches, including equal-sized, bin-packing-based equal-depth, and interaction-based approaches are proposed, and the algorithm for mining and visualizing numerical association rules is developed. Our experimental result on a census data set is illustrated, which shows that the AViz system is useful and helpful for discovering and visualizing numerical association rules.<\/jats:p>","DOI":"10.1057\/palgrave.ivs.9500045","type":"journal-article","created":{"date-parts":[[2003,8,29]],"date-time":"2003-08-29T11:29:30Z","timestamp":1062156570000},"page":"105-125","source":"Crossref","is-referenced-by-count":11,"title":["A Visualization Model of Interactive Knowledge Discovery Systems and Its Implementations"],"prefix":"10.1177","volume":"2","author":[{"given":"Jianchao","family":"Han","sequence":"first","affiliation":[{"name":"Department of Computer Science, California State University, Carson, CA, U.S.A."}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiaohua","family":"Hu","sequence":"additional","affiliation":[{"name":"College of Information Science and Technology, Drexel University, Philadephia, PA 19104, U.S.A."}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Nick","family":"Cercone","sequence":"additional","affiliation":[{"name":"Faculty of Computer Science, Dalhouse University, Halifax, Nova Scotia, Canada"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","published-online":{"date-parts":[[2003,6,1]]},"reference":[{"key":"bibr1-palgrave.ivs.9500045","first-page":"229","volume-title":"Knowledge Discovery in Database","author":"Piatetsky-Shapiro G.","year":"1991"},{"key":"bibr2-palgrave.ivs.9500045","doi-asserted-by":"publisher","DOI":"10.1145\/240455.240464"},{"key":"bibr3-palgrave.ivs.9500045","first-page":"37","volume-title":"Advances in Knowledge Discovery and Data Mining","author":"Brachman R","year":"1996"},{"key":"bibr4-palgrave.ivs.9500045","doi-asserted-by":"crossref","unstructured":"An A, Cercone N. 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