{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,17]],"date-time":"2025-10-17T13:23:12Z","timestamp":1760707392738},"reference-count":23,"publisher":"Springer Science and Business Media LLC","issue":"4","license":[{"start":{"date-parts":[[2005,5,1]],"date-time":"2005-05-01T00:00:00Z","timestamp":1114905600000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Knowl Inf Syst"],"published-print":{"date-parts":[[2005,5]]},"DOI":"10.1007\/s10115-004-0182-5","type":"journal-article","created":{"date-parts":[[2004,10,21]],"date-time":"2004-10-21T15:39:34Z","timestamp":1098373174000},"page":"499-514","source":"Crossref","is-referenced-by-count":22,"title":["Efficient mining of sequential patterns with time constraints by delimited pattern growth"],"prefix":"10.1007","volume":"7","author":[{"given":"Ming-Yen","family":"Lin","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Suh-Yin","family":"Lee","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2005,5,1]]},"reference":[{"key":"182_CRa","doi-asserted-by":"crossref","unstructured":"Agrawal R, Srikant R (1995) Mining sequential patterns. In: Proceedings of the 11th international conference on data engineering. Taipei, Taiwan, pp 3\u201314","DOI":"10.1109\/ICDE.1995.380415"},{"key":"182_CRb","doi-asserted-by":"crossref","unstructured":"Ayres J, Gehrke JE, Yiu T, et al (2002) Sequential pattern mining using bitmaps. In: Proceedings of the 8th ACM SIGKDD international conference on knowledge discovery and data mining. Alberta, Canada","DOI":"10.1145\/775047.775109"},{"key":"182_CRc","first-page":"32","volume":"21","author":"Bettini","year":"1998","unstructured":"Bettini C, Wang XS, Jajodia S (1998) Mining temporal relationships with multiple granularities in time sequences. Data Eng Bull 21:32\u201338","journal-title":"Data Eng Bull"},{"key":"182_CRd","unstructured":"Garofalakis MN, Rastogi R, Shim K (1999) SPIRIT: Sequential pattern mining with regular expression constraints. In: Proceedings of the 25th international conference on very large data bases. Edinburgh, Scotland, pp 223\u2013234"},{"key":"182_CRe","doi-asserted-by":"crossref","unstructured":"Guralnik V, Garg N, Karypis G (2001) Parallel tree projection algorithm for sequence mining. In: Proceedings of the 7th international Euro-par conference on parallel processing, pp 310\u2013320","DOI":"10.1007\/3-540-44681-8_44"},{"key":"182_CRf","doi-asserted-by":"crossref","unstructured":"Han J, Pei J, Mortazavi-Asl B, et al (2000) FreeSpan: Frequent pattern-projected sequential pattern mining. In: Proceedings of the 6th ACM SIGKDD international conference on knowledge discovery and data mining, pp 355\u2013359","DOI":"10.1145\/347090.347167"},{"key":"182_CRg","unstructured":"Lin MY, Lee SY (1998) Incremental update on sequential patterns in large databases. In: Proceedings of 10th IEEE international conference on tools with artificial intelligence. Taipei, Taiwan, pp 24\u201331"},{"key":"182_CRh","doi-asserted-by":"crossref","unstructured":"Lin MY, Lee SY (2002) Fast discovery of sequential patterns by memory indexing. In: Proceedings of the 4th international conference on data warehousing and knowledge discovery (DaWaK02). Aix-en-Provence, France, pp 150\u2013160","DOI":"10.1007\/3-540-46145-0_15"},{"key":"182_CRi","doi-asserted-by":"publisher","first-page":"259","DOI":"10.1023\/A:1009748302351","volume":"1","author":"Mannila","year":"1997","unstructured":"Mannila H, Toivonen H, Verkamo AI (1997) Discovery of frequent episodes in event sequences. Data Min Knowl Discov 1:259\u2013289","journal-title":"Data Min Knowl Discov"},{"key":"182_CRj","doi-asserted-by":"crossref","unstructured":"Masseglia F, Cathala F, Poncelet P (1998) The PSP approach for mining sequential patterns. In: Proceedings of the 2nd European symposium on principles of data mining and knowledge discovery, vol 1510. Nantes, France, pp 176\u2013184","DOI":"10.1007\/BFb0094818"},{"key":"182_CRk","unstructured":"Oates T, Schmill MD, Jensen D, et al (1997) A family of algorithms for finding temporal structure in data. In: Proceedings of the 6th international workshop on AI and statistics. Fort Lauderdale, Florida, pp 371\u2013378"},{"key":"182_CRl","doi-asserted-by":"publisher","first-page":"31","DOI":"10.1145\/568574.568580","volume":"4","author":"Pei","year":"2002","unstructured":"Pei J, Han J (2002) Constrained frequent pattern mining: A pattern-growth view. SIGKDD Explor 4:31\u201339","journal-title":"SIGKDD Explor"},{"key":"182_CRm","unstructured":"Pei J, Han J, Pinto H, et al (2001) PrefixSpan: mining sequential patterns efficiently by prefix-projected pattern growth. In: Proceedings of 2001 international conference on data engineering, pp 215\u2013224"},{"key":"182_CRn","doi-asserted-by":"crossref","unstructured":"Pei J, Han J, Wang W (2002) Mining sequential patterns with constraints in large databases. In: Proceedings of the 11th international conference on information and knowledge management","DOI":"10.1145\/584792.584799"},{"key":"182_CRo","doi-asserted-by":"crossref","unstructured":"Pinto H, Han J, Pei J, et al (2001) Multi-dimensional sequential pattern mining. In: Proceedings of the 10th international conference on information and knowledge management, pp 81\u201388","DOI":"10.1145\/502585.502600"},{"key":"182_CRp","doi-asserted-by":"publisher","first-page":"750","DOI":"10.1109\/TKDE.2002.1019212","volume":"14","author":"Roddick","year":"2002","unstructured":"Roddick JF, Spiliopoulou M (2002) A survey of temporal knowledge discovery paradigms and methods. IEEE Trans Knowl Data Eng 14:750\u2013767","journal-title":"IEEE Trans Knowl Data Eng"},{"key":"182_CRq","unstructured":"Rolland P (2001) FlExPat: Flexible extraction of sequential patterns. In: Proceedings of the IEEE international conference on data mining 2001, pp 481\u2013488"},{"key":"182_CRr","doi-asserted-by":"crossref","unstructured":"Shintani T, Kitsuregawa M (1998) Mining algorithms for sequential patterns in parallel: Hash based approach. In: Proceedings of the 2nd Pacific\u2013Asia conference on knowledge discovery and data mining, pp 283\u2013294","DOI":"10.1007\/3-540-64383-4_24"},{"key":"182_CRs","doi-asserted-by":"crossref","unstructured":"Srikant R, Agrawal R (1996) Mining sequential patterns: Generalizations and performance improvements. In: Proceedings of the 5th international conference on extending database technology. Avignon, France, pp 3\u201317 (an extended version is the IBM Research Report RJ 9994)","DOI":"10.1007\/BFb0014140"},{"key":"182_CRt","doi-asserted-by":"crossref","unstructured":"Tsoukatos I, Gunopulos D (2001) Efficient mining of spatiotemporal patterns. In: Proceedings of the 7th international symposium of advances in spatial and temporal databases, pp 425\u2013442","DOI":"10.1007\/3-540-47724-1_22"},{"key":"182_CRu","doi-asserted-by":"publisher","first-page":"33","DOI":"10.1023\/A:1008689103430","volume":"9","author":"Wang","year":"1997","unstructured":"Wang K (1997) Discovering patterns from large and dynamic sequential data. J Intell Inf Syst 9:33\u201356","journal-title":"J Intell Inf Syst"},{"key":"182_CRv","doi-asserted-by":"publisher","first-page":"31","DOI":"10.1023\/A:1007652502315","volume":"42","author":"Zaki","year":"2001","unstructured":"Zaki MJ (2001) SPADE: An efficient algorithm for mining frequent sequences. Mach Learn J 42:31-60","journal-title":"Mach Learn J"},{"key":"182_CRw","doi-asserted-by":"crossref","unstructured":"Zaki MZ (2000) Sequence mining in categorical domains: Incorporating constraints. In: Proceedings of the 9th international conference on information and knowledge management. Washington, DC, pp 422\u2013429","DOI":"10.1145\/354756.354849"}],"container-title":["Knowledge and Information Systems"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10115-004-0182-5.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s10115-004-0182-5\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10115-004-0182-5","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,4,3]],"date-time":"2020-04-03T11:54:43Z","timestamp":1585914883000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s10115-004-0182-5"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2005,5]]},"references-count":23,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2005,5]]}},"alternative-id":["182"],"URL":"https:\/\/doi.org\/10.1007\/s10115-004-0182-5","relation":{},"ISSN":["0219-1377","0219-3116"],"issn-type":[{"value":"0219-1377","type":"print"},{"value":"0219-3116","type":"electronic"}],"subject":[],"published":{"date-parts":[[2005,5]]}}}