{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,5]],"date-time":"2024-09-05T11:41:46Z","timestamp":1725536506028},"publisher-location":"Berlin, Heidelberg","reference-count":27,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783642039140"},{"type":"electronic","value":"9783642039157"}],"license":[{"start":{"date-parts":[[2009,1,1]],"date-time":"2009-01-01T00:00:00Z","timestamp":1230768000000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2009]]},"DOI":"10.1007\/978-3-642-03915-7_14","type":"book-chapter","created":{"date-parts":[[2009,8,26]],"date-time":"2009-08-26T11:55:29Z","timestamp":1251287729000},"page":"155-166","source":"Crossref","is-referenced-by-count":10,"title":["Condensed Representation of Sequential Patterns According to Frequency-Based Measures"],"prefix":"10.1007","author":[{"given":"Marc","family":"Plantevit","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bruno","family":"Cr\u00e9milleux","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","reference":[{"key":"14_CR1","unstructured":"Asuncion, A., Newman, D.: UCI machine learning repository (2007), http:\/\/www.ics.uci.edu\/~mlearn\/MLRepository.html"},{"key":"14_CR2","unstructured":"Burke, R.D.: The wasabi personal shopper: A case-based recommender system. In: AAAI\/IAAI, pp. 844\u2013849 (1999)"},{"key":"14_CR3","doi-asserted-by":"crossref","unstructured":"Calders, T., Rigotti, C., Boulicaut, J.-F.: A survey on condensed representations for frequent sets. In: Constraint-Based Mining and Inductive Databases, pp. 64\u201380 (2004)","DOI":"10.1007\/11615576_4"},{"key":"14_CR4","doi-asserted-by":"crossref","unstructured":"De Raedt, L., Zimmermann, A.: Constraint-based pattern set mining. In: SDM (2007)","DOI":"10.1137\/1.9781611972771.22"},{"key":"14_CR5","first-page":"43","volume-title":"ACM SIGKDD 1999","author":"G. Dong","year":"1999","unstructured":"Dong, G., Li, J.: Efficient mining of emerging patterns: discovering trends and differences. In: ACM SIGKDD 1999, San Diego, CA, pp. 43\u201352. ACM Press, New York (1999)"},{"issue":"13","key":"14_CR6","doi-asserted-by":"publisher","first-page":"3613","DOI":"10.1093\/nar\/gkg602","volume":"31","author":"J.L. Gardy","year":"2003","unstructured":"Gardy, J.L., Spencer, C., Wang, K., Ester, M., Tusnady, G.E., Simon, I., Hua, S.: PSORT-B: improving protein subcellular localization prediction for Gram-negative bacteria. Nucl. Acids Res.\u00a031(13), 3613\u20133617 (2003)","journal-title":"Nucl. Acids Res."},{"key":"14_CR7","doi-asserted-by":"crossref","unstructured":"Geng, L., Hamilton, H.J.: Interestingness measures for data mining: A survey. ACM Comput. Surv.\u00a038(3) (2006)","DOI":"10.1145\/1132960.1132963"},{"key":"14_CR8","unstructured":"Giacometti, A., Laurent, D., Diop, C.T.: Condensed representations for sets of mining queries. In: Knowledge Discovery in Inductive Databases, 1st International Workshop, KDID 2002 (2002)"},{"key":"14_CR9","unstructured":"Greenberg, S.: Using Unix: Collected traces of 168 users. Research Report, 88\/333\/45, Department of Computer Science, University of Calgary, Calgary, Canada (1988), http:\/\/grouplab.cpsc.ucalgary.ca\/papers\/"},{"key":"14_CR10","series-title":"Lecture Notes in Artificial Intelligence","doi-asserted-by":"publisher","first-page":"533","DOI":"10.1007\/978-3-540-73499-4_40","volume-title":"Machine Learning and Data Mining in Pattern Recognition","author":"C. H\u00e9bert","year":"2007","unstructured":"H\u00e9bert, C., Cr\u00e9milleux, B.: A unified view of objective interestingness measures. In: Perner, P. (ed.) MLDM 2007. LNCS (LNAI), vol.\u00a04571, pp. 533\u2013547. Springer, Heidelberg (2007)"},{"key":"14_CR11","series-title":"Lecture Notes in Artificial Intelligence","doi-asserted-by":"publisher","first-page":"577","DOI":"10.1007\/11871637_58","volume-title":"Knowledge Discovery in Databases: PKDD 2006","author":"A.J. Knobbe","year":"2006","unstructured":"Knobbe, A.J., Ho, E.K.Y.: Pattern teams. In: F\u00fcrnkranz, J., Scheffer, T., Spiliopoulou, M. (eds.) PKDD 2006. LNCS (LNAI), vol.\u00a04213, pp. 577\u2013584. Springer, Heidelberg (2006)"},{"key":"14_CR12","doi-asserted-by":"crossref","unstructured":"Lesh, N., Zaki, M.J., Ogihara, M.: Mining features for sequence classification. In: KDD, pp. 342\u2013346 (1999)","DOI":"10.1145\/312129.312275"},{"issue":"2","key":"14_CR13","doi-asserted-by":"publisher","first-page":"131","DOI":"10.1007\/PL00011662","volume":"3","author":"J. Li","year":"2001","unstructured":"Li, J., Dong, G., Ramamohanarao, K.: Making use of the most expressive jumping emerging patterns for classification. Knowledge and Information Systems\u00a03(2), 131\u2013145 (2001)","journal-title":"Knowledge and Information Systems"},{"key":"14_CR14","first-page":"3","volume":"12","author":"J. Li","year":"2001","unstructured":"Li, J., Wong, L.: Emerging patterns and gene expression data. Genome Informatics\u00a012, 3\u201313 (2001)","journal-title":"Genome Informatics"},{"key":"14_CR15","first-page":"13","volume-title":"ACM SIGMOD 1998","author":"R.T. Ng","year":"1998","unstructured":"Ng, R.T., Lakshmanan, L.V.S., Han, J., Pang, A.: Exploratory mining and pruning optimizations of constrained associations rules. In: ACM SIGMOD 1998, pp. 13\u201324. ACM Press, New York (1998)"},{"key":"14_CR16","unstructured":"Piatetsky-Shapiro, G.: Discovery, analysis, and presentation of strong rules. In: Knowledge Discovery in Databases, pp. 229\u2013248. AAAI\/MIT Press (1991)"},{"issue":"1","key":"14_CR17","doi-asserted-by":"publisher","first-page":"77","DOI":"10.1007\/s10618-008-0108-z","volume":"17","author":"C. Ra\u00efssi","year":"2008","unstructured":"Ra\u00efssi, C., Calders, T., Poncelet, P.: Mining conjunctive sequential patterns. Data Min. Knowl. Discov.\u00a017(1), 77\u201393 (2008)","journal-title":"Data Min. Knowl. Discov."},{"key":"14_CR18","first-page":"436","volume-title":"KDD","author":"R. She","year":"2003","unstructured":"She, R., Chen, F., Wang, K., Ester, M., Gardy, J.L., Brinkman, F.S.L.: Frequent-subsequence-based prediction of outer membrane proteins. In: Getoor, L., Senator, T.E., Domingos, P., Faloutsos, C. (eds.) KDD, pp. 436\u2013445. ACM, New York (2003)"},{"key":"14_CR19","volume-title":"Proceedings of the Sixth SIAM International Conference on Data Mining","author":"A. Siebes","year":"2006","unstructured":"Siebes, A., Vreeken, J., van Leeuwen, M.: Item sets that compress. In: Proceedings of the Sixth SIAM International Conference on Data Mining, Bethesda, MD, USA. SIAM, Philadelphia (2006)"},{"key":"14_CR20","first-page":"159","volume-title":"Knowledge Discovery in Databases","author":"P. Smyth","year":"1991","unstructured":"Smyth, P., Goodman, R.M.: Rule induction using information theory. In: Knowledge Discovery in Databases, pp. 159\u2013176. AAAI Press, Menlo Park (1991)"},{"issue":"1","key":"14_CR21","doi-asserted-by":"publisher","first-page":"94","DOI":"10.1007\/s10618-008-0111-4","volume":"17","author":"A. Soulet","year":"2008","unstructured":"Soulet, A., Cr\u00e9milleux, B.: Adequate condensed representations of patterns. Data Min. Knowl. Discov.\u00a017(1), 94\u2013110 (2008)","journal-title":"Data Min. Knowl. Discov."},{"key":"14_CR22","doi-asserted-by":"crossref","unstructured":"Soulet, A., Cr\u00e9milleux, B., Rioult, F.: Condensed representation of eps and patterns quantified by frequency-based measures. In: KDID 2004, Revised Selected and Invited Paperss, pp. 173\u2013190 (2004)","DOI":"10.1007\/978-3-540-31841-5_10"},{"key":"14_CR23","unstructured":"Towell, G.G., Shavlik, J.W., Noordewier, M.O.: Refinement ofapproximate domain theories by knowledge-based neural networks. In: AAAI, pp. 861\u2013866 (1990)"},{"issue":"2","key":"14_CR24","doi-asserted-by":"publisher","first-page":"501","DOI":"10.1016\/j.dss.2008.09.003","volume":"46","author":"C.-Y. Tsai","year":"2009","unstructured":"Tsai, C.-Y., Shieh, Y.-C.: A change detection method for sequential patterns. Decis. Support Syst.\u00a046(2), 501\u2013511 (2009)","journal-title":"Decis. Support Syst."},{"issue":"8","key":"14_CR25","doi-asserted-by":"publisher","first-page":"1042","DOI":"10.1109\/TKDE.2007.1043","volume":"19","author":"J. Wang","year":"2007","unstructured":"Wang, J., Han, J., Li, C.: Frequent closed sequence mining without candidate maintenance. IEEE Trans. Knowl. Data Eng.\u00a019(8), 1042\u20131056 (2007)","journal-title":"IEEE Trans. Knowl. Data Eng."},{"key":"14_CR26","doi-asserted-by":"crossref","unstructured":"Xing, Z., Pei, J., Dong, G., Yu, P.S.: Mining sequence classifiers for early prediction. In: SDM, pp. 644\u2013655 (2008)","DOI":"10.1137\/1.9781611972788.59"},{"key":"14_CR27","doi-asserted-by":"crossref","unstructured":"Yan, X., Han, J., Afshar, R.: Clospan: Mining closed sequential patterns in large databases. In: SDM (2003)","DOI":"10.1137\/1.9781611972733.15"}],"container-title":["Lecture Notes in Computer Science","Advances in Intelligent Data Analysis VIII"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-642-03915-7_14","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,5,22]],"date-time":"2019-05-22T05:26:08Z","timestamp":1558502768000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-642-03915-7_14"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2009]]},"ISBN":["9783642039140","9783642039157"],"references-count":27,"URL":"https:\/\/doi.org\/10.1007\/978-3-642-03915-7_14","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2009]]}}}