{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,5]],"date-time":"2024-09-05T04:52:55Z","timestamp":1725511975292},"publisher-location":"Berlin, Heidelberg","reference-count":9,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783540717027"},{"type":"electronic","value":"9783540717034"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"DOI":"10.1007\/978-3-540-71703-4_11","type":"book-chapter","created":{"date-parts":[[2007,8,1]],"date-time":"2007-08-01T20:31:22Z","timestamp":1186000282000},"page":"103-114","source":"Crossref","is-referenced-by-count":0,"title":["Mining Time-Delayed Associations from Discrete Event Datasets"],"prefix":"10.1007","author":[{"given":"K. K.","family":"Loo","sequence":"first","affiliation":[]},{"given":"Ben","family":"Kao","sequence":"additional","affiliation":[]}],"member":"297","reference":[{"unstructured":"Ji, X., Bailey, J., Dong, G.: Mining minimal distinguishing subsequence patterns with gap constraints. In: ICDM, pp. 194\u2013201 (2005)","key":"11_CR1"},{"unstructured":"Lee, D., Lee, W.: Finding maximal frequent itemsets over online data streams adaptively. In: ICDM, pp. 266\u2013273 (2005)","key":"11_CR2"},{"doi-asserted-by":"crossref","unstructured":"Li, J., Maier, D., Tufte, K., Papadimos, V., Tucker, P.A.: Semantics and evaluation techniques for window aggregates in data streams. In: SIGMOD Conference, pp. 311\u2013322 (2005)","key":"11_CR3","DOI":"10.1145\/1066157.1066193"},{"unstructured":"Loo, K.K., Kao, B.: Mining time-delayed associations from discrete event datasets. Technical Report TR-2007-01, Department of Computer Science, The University of Hong Kong, Hong Kong (2007)","key":"11_CR4"},{"unstructured":"Mannila, H., Toivonen, H.: Discovering generalized episodes using minimal occurrences. In: KDD, pp. 146\u2013151 (1996)","key":"11_CR5"},{"unstructured":"Papadimitriou, S., Sun, J., Faloutsos, C.: Streaming pattern discovery in multiple time-series. In: VLDB, pp. 697\u2013708 (2005)","key":"11_CR6"},{"doi-asserted-by":"crossref","unstructured":"Sakurai, Y., Papadimitriou, S., Faloutsos, C.: Braid: Stream mining through group lag correlations. In: SIGMOD Conference, pp. 599\u2013610 (2005)","key":"11_CR7","DOI":"10.1145\/1066157.1066226"},{"issue":"1\/2","key":"11_CR8","doi-asserted-by":"publisher","first-page":"31","DOI":"10.1023\/A:1007652502315","volume":"42","author":"M.J. Zaki","year":"2001","unstructured":"Zaki, M.J.: Spade: An efficient algorithm for mining frequent sequences. Machine Learning\u00a042(1\/2), 31\u201360 (2001)","journal-title":"Machine Learning"},{"doi-asserted-by":"crossref","unstructured":"Zhang, R., Koudas, N., Ooi, B.C., Srivastava, D.: Multiple aggregations over data streams. In: SIGMOD Conference, pp. 299\u2013310 (2005)","key":"11_CR9","DOI":"10.1145\/1066157.1066192"}],"container-title":["Lecture Notes in Computer Science","Advances in Databases: Concepts, Systems and Applications"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-540-71703-4_11.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,4,27]],"date-time":"2021-04-27T05:54:26Z","timestamp":1619502866000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-540-71703-4_11"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[null]]},"ISBN":["9783540717027","9783540717034"],"references-count":9,"URL":"https:\/\/doi.org\/10.1007\/978-3-540-71703-4_11","relation":{},"subject":[]}}