{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,1,8]],"date-time":"2025-01-08T05:20:08Z","timestamp":1736313608622,"version":"3.32.0"},"publisher-location":"Boston, MA","reference-count":16,"publisher":"Springer US","isbn-type":[{"type":"print","value":"9780387231518"},{"type":"electronic","value":"9780387231525"}],"license":[{"start":{"date-parts":[[2005,1,1]],"date-time":"2005-01-01T00:00:00Z","timestamp":1104537600000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2005]]},"DOI":"10.1007\/0-387-23152-8_31","type":"book-chapter","created":{"date-parts":[[2006,1,19]],"date-time":"2006-01-19T06:36:28Z","timestamp":1137652588000},"page":"239-250","source":"Crossref","is-referenced-by-count":2,"title":["Post Sequential Patterns Mining"],"prefix":"10.1007","author":[{"given":"Jing","family":"Lu","sequence":"first","affiliation":[]},{"given":"Osei","family":"Adjei","sequence":"additional","affiliation":[]},{"given":"Weiru","family":"Chen","sequence":"additional","affiliation":[]},{"given":"Jun","family":"Liu","sequence":"additional","affiliation":[]}],"member":"297","reference":[{"key":"31_CR1","doi-asserted-by":"crossref","unstructured":"R. Agrawal and R. Srikant. Mining Sequential Patterns. Eleventh Int\u2019l Conference on Data Engineering, Taipei, Taiwan. IEEE Computer Society Press, pages 3\u201314, March 1995.","DOI":"10.1109\/ICDE.1995.380415"},{"key":"31_CR2","doi-asserted-by":"crossref","unstructured":"R. Agrawal, D. Gunopulos and F. Leymann. Mining Process Models from Workflow Logs. Proceedings of the Sixth International Conference on Extending Database Technology (EDBT), 1998.","DOI":"10.1007\/BFb0101003"},{"issue":"3","key":"31_CR3","doi-asserted-by":"publisher","first-page":"215","DOI":"10.1145\/287000.287001","volume":"7","author":"J.E. Cook","year":"1998","unstructured":"J.E. Cook and A.L Wolf. Discovering Models of Software Processes from Event-Based Data. ACM Transactions on Software Engineering and Methodology, 7(3), pages 215\u2013249, 1998.","journal-title":"ACM Transactions on Software Engineering and Methodology"},{"issue":"2","key":"31_CR4","doi-asserted-by":"publisher","first-page":"147","DOI":"10.1145\/304399.304401","volume":"8","author":"J.E. Cook","year":"1999","unstructured":"J.E. Cook and A.L Wolf. Software Process Validation: Quantitatively Measuring the correspondence of a Process to a Model. ACM Transactions on Software Engineering and Methodology, 8(2), pages 147\u2013176, 1999.","journal-title":"ACM Transactions on Software Engineering and Methodology"},{"key":"31_CR5","unstructured":"M. Garofalakis, R. Rastogi, and K. Shim. SPRIT: Sequential Pattern Mining with Regular Expression Constraints. Twenty-fifth International Conference on Very Large Data Bases, Edinburgh, Scotland, UK, Morgan Kaufmann, pages 223\u2013234, September 1999."},{"key":"31_CR6","doi-asserted-by":"crossref","unstructured":"A. Gionis, T. Kujala and H. Mannila. Fragments of Order, SIGKDD\u201903, pages 129\u2013136, Washington, DC, USA, August 2003.","DOI":"10.1145\/956750.956768"},{"key":"31_CR7","doi-asserted-by":"crossref","first-page":"183","DOI":"10.1007\/3-540-45164-1_19","volume-title":"Machine Learning: ECML 2000","author":"Joachim Herbst","year":"2000","unstructured":"J. Herbst. A Machine Learning Approach to Workflow Management. Proceedings of European Conference on Machine Learning (ECML-2000), Lecture Notes in Artificial Intelligence No. 1810, pages 183\u2013194, 2000."},{"key":"31_CR8","unstructured":"J. Herbst. Dealing with Concurrency in Workflow Induction. In Proceedings of the 7th European Concurrent Engineering Conference, Society for Computer Simulation (SCS), pages 169\u2013174, 2000."},{"key":"31_CR9","doi-asserted-by":"publisher","first-page":"67","DOI":"10.1002\/1099-1174(200006)9:2<67::AID-ISAF186>3.0.CO;2-7","volume":"9","author":"J. Herbst","year":"2000","unstructured":"J. Herbst and D. Karagiannis. Integrating Machine Learning and Workflow Management to Support Acquisition and Adaptation of Workflow Models. International Journal of Intelligent Systems in Accounting, Finance and Management, 9: pages 67\u201392, 2000.","journal-title":"International Journal of Intelligent Systems in Accounting, Finance and Management"},{"key":"31_CR10","doi-asserted-by":"crossref","unstructured":"M. Y. Lin and S.Y. Lee. Fast discovery of sequential patterns by memory indexing. DaWaK, pages. 150\u2013160, 2002.","DOI":"10.1007\/3-540-46145-0_15"},{"key":"31_CR11","unstructured":"J. Lu, O. Adjei, X.F. Wang and F. Hussain. Sequential Patterns Modeling and Graph Pattern Mining. the forthcoming IPMU Conference, Perugia, July, 4\u20139, 2004."},{"key":"31_CR12","unstructured":"J. Lu, X.F. Wang, O. Adjei and F. Hussain. Sequential Patterns Graph and its Construction Algorithm. Chinese Journal of Computers, 2004 Vol. 6."},{"key":"31_CR13","doi-asserted-by":"crossref","unstructured":"H. Mannila and D. Rusakov. Decomposing Event Sequences into Independent Components, In V. Kumar and R. Grossman, editors, the First SIAM Conference on Data Mining, Proc., pages 1\u201317, SIAM, 2001.","DOI":"10.1137\/1.9781611972719.2"},{"key":"31_CR14","unstructured":"J. Pei, J.W. Han, B. Mortazavi-Asl,. and H. Pinto. PrefixSpan: Mining Sequential Patterns Efficiently by Prefix-Projected Pattern Growth. Seventh Int\u2019l Conference on Data Engineering, Heidelberg, Germany, 2001."},{"key":"31_CR15","first-page":"3","volume":"1057","author":"R. Srikant","year":"1996","unstructured":"R. Srikant, R. Agrawal. Mining Sequential Patterns: Generalizations and Performance Improvements. Fifth Int\u2019l on Extending Database Technology, EDBT, vol. 1057, Avigon, France, pages 3\u201317, March 1996.","journal-title":"Fifth Int\u2019l on Extending Database Technology, EDBT"},{"issue":"1\/2","key":"31_CR16","doi-asserted-by":"publisher","first-page":"31","DOI":"10.1023\/A:1007652502315","volume":"42","author":"M.J. Zaki","year":"2001","unstructured":"M.J. Zaki. SPADE: An efficient algorithm for mining frequent sequences. Machine Learning, 42(1\/2), pages 31\u201360, 2001.","journal-title":"Machine Learning"}],"container-title":["IFIP International Federation for Information Processing","Intelligent Information Processing II"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/0-387-23152-8_31","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,1,7]],"date-time":"2025-01-07T06:49:46Z","timestamp":1736232586000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/0-387-23152-8_31"}},"subtitle":["A New Method for Discovering Structural Patterns"],"short-title":[],"issued":{"date-parts":[[2005]]},"ISBN":["9780387231518","9780387231525"],"references-count":16,"URL":"https:\/\/doi.org\/10.1007\/0-387-23152-8_31","relation":{},"ISSN":["1571-5736"],"issn-type":[{"type":"print","value":"1571-5736"}],"subject":[],"published":{"date-parts":[[2005]]}}}