{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,5]],"date-time":"2024-09-05T15:08:29Z","timestamp":1725548909501},"publisher-location":"Berlin, Heidelberg","reference-count":12,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783540414506"},{"type":"electronic","value":"9783540444916"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2000]]},"DOI":"10.1007\/3-540-44491-2_14","type":"book-chapter","created":{"date-parts":[[2010,3,1]],"date-time":"2010-03-01T15:42:52Z","timestamp":1267458172000},"page":"91-96","source":"Crossref","is-referenced-by-count":11,"title":["Visualisation of Temporal Interval Association Rules"],"prefix":"10.1007","author":[{"given":"Chris P.","family":"Rainsford","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"John F.","family":"Roddick","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2002,5,27]]},"reference":[{"key":"14_CR1","doi-asserted-by":"crossref","unstructured":"Agrawal, A., Imielinski, T., Swami, A. Mining Association Rules between Sets of Items in Large Databases. International Conference on Management of Data (SIGMOD\u201993), May (1993) 207\u2013216.","DOI":"10.1145\/170035.170072"},{"key":"14_CR2","doi-asserted-by":"crossref","unstructured":"Allen, J. F.: Maintaining knowledge about temporal intervals. Communications of the ACM Vol 26. No.11 (1983).","DOI":"10.1145\/182.358434"},{"key":"14_CR3","unstructured":"Aumann Y., Feldman R., Yehuda Y.B., Landau D., Liphstat O., Schler Y. Circle Graphs: New Visualization Tools for Text-Mining. in The 3rd European Conference on Principles and Practice of Knowledge Discovery in Databases, (PKDD-99). Prague, Czech Republic, September 15\u201318 (1999)."},{"key":"14_CR4","unstructured":"Brunk, C. K., J. Kohavi, R. MineSet An Integrated System for Data Mining. Third International Conference on Knowledge Discovery and Data Mining (KDD\u201997), Newport Beach, California, AAAI Press. August 14\u201317, (1997). 135\u2013138."},{"key":"14_CR5","doi-asserted-by":"publisher","first-page":"199","DOI":"10.1016\/0004-3702(92)90090-K","volume":"54","author":"C. Freksa","year":"1992","unstructured":"Freksa, C. Temporal reasoning based on semi-intervals. Artificial Intelligence 54, (1992) 199\u2013227.","journal-title":"Artificial Intelligence"},{"key":"14_CR6","doi-asserted-by":"crossref","unstructured":"Klemettinen, M., Mannila H., Ronkainen, P., Toivonen H., Verkamo, A.I. Finding interesting Rules from Large Sets of Discovered Association Rules. Third International Conference on Information and Knowledge Management, Gaithersburg, Maryland, ACM Press. (1994).","DOI":"10.1145\/191246.191314"},{"key":"14_CR7","unstructured":"Lee, H., Ong, H., Sodhi, K.S. Visual Data Exploration. The 3rd International Applied Statistics Conference, Dallas, Texas.(1995)."},{"key":"14_CR8","unstructured":"Netmap Technical Manual. The Technical Manual for the Netmap System. Netmap Solutions Pty Ltd, North Sydney NSW, Australia. (1994)."},{"key":"14_CR9","unstructured":"Piatetsky-Shapiro, G. and W. Frawley, J., Eds. Knowledge Discovery in Databases. Menlo park, California, AAAI Press, (1991)."},{"key":"14_CR10","unstructured":"Rainsford C.P., Roddick J.F. Adding Temporal Semantics to Association Rules. in The 3rd European Conference on Principles and Practice of Knowledge Discovery in Databases, (PKDD-99). Prague, Czech Republic, September 15\u201318 (1999)."},{"key":"14_CR11","unstructured":"Roddick, J. F. and M. Spiliopoulou. \u201cA Survey of Temporal Knowledge Discovery Paradigms and Methods.\u201d IEEE Transactions on Knowledge and Data Engineering, to appear. (2000)."},{"key":"14_CR12","unstructured":"Tattersall, G. D. and P. R. Limb. Visulisation Techniques for Data Mining., BT Technol Journal 12(4).(1994)."}],"container-title":["Lecture Notes in Computer Science","Intelligent Data Engineering and Automated Learning \u2014 IDEAL 2000. Data Mining, Financial Engineering, and Intelligent Agents"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/3-540-44491-2_14","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,2,25]],"date-time":"2019-02-25T09:18:09Z","timestamp":1551086289000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/3-540-44491-2_14"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2000]]},"ISBN":["9783540414506","9783540444916"],"references-count":12,"URL":"https:\/\/doi.org\/10.1007\/3-540-44491-2_14","relation":{},"ISSN":["0302-9743"],"issn-type":[{"type":"print","value":"0302-9743"}],"subject":[],"published":{"date-parts":[[2000]]}}}