{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,20]],"date-time":"2026-09-20T00:42:04Z","timestamp":1789864924751,"version":"4.0.1"},"publisher-location":"Berlin, Heidelberg","reference-count":20,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"value":"9783540457640","type":"print"},{"value":"9783540457664","type":"electronic"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2006]]},"DOI":"10.1007\/11875604_7","type":"book-chapter","created":{"date-parts":[[2006,9,22]],"date-time":"2006-09-22T13:19:18Z","timestamp":1158931158000},"page":"47-57","source":"Crossref","is-referenced-by-count":4,"title":["Visualizing Transactional Data with Multiple Clusterings for Knowledge Discovery"],"prefix":"10.1007","author":[{"given":"Nicolas","family":"Durand","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Bruno","family":"Cr\u00e9milleux","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Einoshin","family":"Suzuki","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","reference":[{"key":"7_CR1","doi-asserted-by":"crossref","unstructured":"Afrati, F.N., Gionis, A., Mannila, H.: Approximating a Collection of Frequent Sets. In: Proc. 10th Int. Conf. on Knowledge Discovery and Data Mining (KDD 2004), Seattle, WA, August 2004, pp. 12\u201319 (2004)","DOI":"10.1145\/1014052.1014057"},{"issue":"2","key":"7_CR2","doi-asserted-by":"publisher","first-page":"207","DOI":"10.1145\/170036.170072","volume":"22","author":"R. Agrawal","year":"1993","unstructured":"Agrawal, R., Imielinski, T., Swami, A.: Mining Association Rules between Sets of Items in Large Database. ACM SIGMOD\u00a022(2), 207\u2013216 (1993)","journal-title":"ACM SIGMOD"},{"key":"7_CR3","volume-title":"Hypergraph","author":"C. Berge","year":"1989","unstructured":"Berge, C.: Hypergraph. North Holland, Amsterdam (1989)"},{"key":"7_CR4","unstructured":"Berkhin, P.: Survey of Clustering Data Mining Techniques. Technical report, Accrue Software, San Jose, CA (2002)"},{"issue":"4","key":"7_CR5","doi-asserted-by":"publisher","first-page":"399","DOI":"10.1023\/A:1024992613384","volume":"7","author":"I.V. Cadez","year":"2003","unstructured":"Cadez, I.V., Heckerman, D., Meek, C., Smyth, P., White, S.: Model-Based Clustering and Visualization of Navigation Patterns on a Web Site. Data Mining and Knowledge Discovery\u00a07(4), 399\u2013424 (2003)","journal-title":"Data Mining and Knowledge Discovery"},{"key":"7_CR6","doi-asserted-by":"crossref","unstructured":"Cadez, I.V., Smyth, P., Mannila, H.: Probabilistic Modeling of Transaction Data with Applications to Profiling, Visualization, and Prediction. In: Proc. 7th Int. Conf. on Knowledge Discovery and Data Mining (KDD 2001), San Francisco, California, USA, August 2001, pp. 37\u201346 (2001)","DOI":"10.1145\/502512.502523"},{"key":"7_CR7","volume-title":"Readings in Information Visualization","year":"1999","unstructured":"Card, S.K., Makinlay, J.D., Shneiderman, B. (eds.): Readings in Information Visualization. Morgan Kaufmann, San Francisco (1999)"},{"key":"7_CR8","doi-asserted-by":"crossref","unstructured":"Durand, N., Cr\u00e9milleux, B.: ECCLAT: a New Approach of Clusters Discovery in Categorical Data. In: Proc. 22nd SGAI Int. Conf. on Knowledge Based Systems and Applied Artificial Intelligence (ES 2002), Cambridge, UK, pp. 177\u2013190 (2002)","DOI":"10.1007\/978-1-4471-0651-7_13"},{"issue":"6","key":"7_CR9","doi-asserted-by":"publisher","first-page":"1278","DOI":"10.1137\/S0097539793250299","volume":"24","author":"T. Eiter","year":"1995","unstructured":"Eiter, T., Gottlob, G.: Identifying the Minimal Transversals of a Hypergraph and Related Problems. SIAM Journal on Computing Archive\u00a024(6), 1278\u20131304 (1995)","journal-title":"SIAM Journal on Computing Archive"},{"issue":"1","key":"7_CR10","doi-asserted-by":"publisher","first-page":"65","DOI":"10.1145\/568574.568575","volume":"4","author":"V. Estivill-Castro","year":"2002","unstructured":"Estivill-Castro, V.: Why So Many Clustering Algorithms - A Position Paper. ACM SIGKDD Explorations\u00a04(1), 65\u201375 (2002)","journal-title":"ACM SIGKDD Explorations"},{"key":"7_CR11","volume-title":"Information Visualization in Data Mining and Knowledge Discovery","author":"U. Fayyad","year":"2002","unstructured":"Fayyad, U., Grinstein, G.G., Wierse, A.: Information Visualization in Data Mining and Knowledge Discovery. Morgan Kaufmann, San Francisco (2002)"},{"key":"7_CR12","doi-asserted-by":"crossref","unstructured":"Gionis, A., Mannila, H., Tsaparas, P.: Clustering Aggregation. In: Proc. 21st Int. Conf. on Data Engineering (ICDE 2005), Tokyo, Japan, April 2005, pp. 341\u2013352 (2005)","DOI":"10.1109\/ICDE.2005.34"},{"key":"7_CR13","doi-asserted-by":"crossref","unstructured":"Gunopulos, D., Khardon, R., Mannila, H., Toivonen, H.: Data Mining, Hypergraph Transversals, and Machine Learning. In: Proc. 16th Symposium on Principles of Database Systems (PODS 1997), Tucson, Arizona, May 1997, pp. 209\u2013216 (1997)","DOI":"10.1145\/263661.263684"},{"key":"7_CR14","unstructured":"H\u00e9bert, C.: Enumerating the Minimal Transversals of a Hypergraph Using Galois Connections. Technical report, Univ. Caen Basse-Normandie, France (2005)"},{"issue":"1","key":"7_CR15","doi-asserted-by":"publisher","first-page":"58","DOI":"10.1145\/360402.360421","volume":"2","author":"J. Hipp","year":"2000","unstructured":"Hipp, J., G\u00fcntzer, H., Nakhaeizadeh, G.: Algorithms for Association Rule Mining - A General Survey and Comparison. SIGKDD Explorations\u00a02(1), 58\u201364 (2000)","journal-title":"SIGKDD Explorations"},{"key":"7_CR16","series-title":"Lecture Notes in Artificial Intelligence","doi-asserted-by":"publisher","first-page":"410","DOI":"10.1007\/11430919_48","volume-title":"Advances in Knowledge Discovery and Data Mining","author":"D.M.. Squire","year":"2005","unstructured":"Squire, D.M., Squire, D.M.: Visualization of Cluster Changes by Comparing Self-organizing Maps. In: Ho, T.-B., Cheung, D., Liu, H. (eds.) PAKDD 2005. LNCS (LNAI), vol.\u00a03518, pp. 410\u2013419. Springer, Heidelberg (2005)"},{"key":"7_CR17","series-title":"Lecture Notes in Artificial Intelligence","doi-asserted-by":"publisher","first-page":"643","DOI":"10.1007\/11564126_68","volume-title":"Knowledge Discovery in Databases: PKDD 2005","author":"R. Pensa","year":"2005","unstructured":"Pensa, R., Robardet, C., Boulicaut, J.-F.: A Bi-clustering Framework for Categorical Data. In: Jorge, A.M., Torgo, L., Brazdil, P.B., Camacho, R., Gama, J. (eds.) PKDD 2005. LNCS (LNAI), vol.\u00a03721, pp. 643\u2013650. Springer, Heidelberg (2005)"},{"key":"7_CR18","doi-asserted-by":"crossref","unstructured":"Suzuki, E., Watanabe, T., Yokoi, H., Takabayashi, K.: Detecting Interesting Exceptions from Medical Test Data with Visual Summarization. In: Proc. 3rd IEEE International Conf. on Data Mining (ICDM 2003), pp. 315\u2013322 (2003)","DOI":"10.1109\/ICDM.2003.1250935"},{"key":"7_CR19","unstructured":"Tufte, E.: The Visual Display of Quantitative Information. Graphics Press (2001)"},{"key":"7_CR20","volume-title":"Data Mining Solutions","author":"C. Westphal","year":"2000","unstructured":"Westphal, C., Blaxton, T.: Data Mining Solutions. John Wiley and Sons, New York (2000)"}],"container-title":["Lecture Notes in Computer Science","Foundations of Intelligent Systems"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/11875604_7.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,11,17]],"date-time":"2020-11-17T19:48:38Z","timestamp":1605642518000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/11875604_7"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2006]]},"ISBN":["9783540457640","9783540457664"],"references-count":20,"URL":"https:\/\/doi.org\/10.1007\/11875604_7","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2006]]}}}