{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,11]],"date-time":"2026-06-11T22:26:47Z","timestamp":1781216807428,"version":"3.54.1"},"publisher-location":"Berlin, Heidelberg","reference-count":18,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"value":"9783642385766","type":"print"},{"value":"9783642385773","type":"electronic"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2013]]},"DOI":"10.1007\/978-3-642-38577-3_15","type":"book-chapter","created":{"date-parts":[[2013,5,20]],"date-time":"2013-05-20T01:31:53Z","timestamp":1369013513000},"page":"141-150","source":"Crossref","is-referenced-by-count":7,"title":["Approximately Recurring Motif Discovery Using Shift Density Estimation"],"prefix":"10.1007","author":[{"given":"Yasser","family":"Mohammad","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Toyoaki","family":"Nishida","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","reference":[{"key":"15_CR1","series-title":"Lecture Notes in Artificial Intelligence","doi-asserted-by":"publisher","first-page":"462","DOI":"10.1007\/11871637_44","volume-title":"Knowledge Discovery in Databases: PKDD 2006","author":"J. Catalano","year":"2006","unstructured":"Catalano, J., Armstrong, T., Oates, T.: Discovering patterns in real-valued time series. In: F\u00fcrnkranz, J., Scheffer, T., Spiliopoulou, M. (eds.) PKDD 2006. LNCS (LNAI), vol.\u00a04213, pp. 462\u2013469. Springer, Heidelberg (2006)"},{"key":"15_CR2","first-page":"493","volume-title":"KDD 2003","author":"B. Chiu","year":"2003","unstructured":"Chiu, B., Keogh, E., Lonardi, S.: Probabilistic discovery of time series motifs. In: KDD 2003, pp. 493\u2013498. ACM, New York (2003)"},{"key":"15_CR3","unstructured":"CPMD Toolbox, http:\/\/www.ii.ist.i.kyoto-u.ac.jp\/~yasser\/cpmd\/cpmd.html"},{"issue":"1","key":"15_CR4","doi-asserted-by":"publisher","first-page":"21","DOI":"10.1093\/bioinformatics\/bti745","volume":"22","author":"K.L. Jensen","year":"2006","unstructured":"Jensen, K.L., Styczynxki, M.P., Rigoutsos, I., Stephanopoulos, G.N.: A generic motif discovery algorithm for sequenctial data. BioInformatics\u00a022(1), 21\u201328 (2006)","journal-title":"BioInformatics"},{"key":"15_CR5","unstructured":"Keogh, E., Lin, J., Fu, A.: Hot sax: efficiently finding the most unusual time series subsequence. In: IEEE ICDM, p. 8 (November 2005)"},{"key":"15_CR6","unstructured":"Lin, J., Keogh, E., Lonardi, S., Patel, P.: Finding motifs in time series. In: The 2nd Workshop on Temporal Data Mining, pp. 53\u201368 (2002)"},{"key":"15_CR7","unstructured":"Minnen, D., Starner, T., Essa, I., Isbell, C.: Improving activity discovery with automatic neighborhood estimation. Int. Joint Conf. on Artificial Intelligence (2007)"},{"key":"15_CR8","doi-asserted-by":"crossref","unstructured":"Minnen, D., Essa, I., Isbell, C.L., Starner, T.: Detecting Subdimensional Motifs: An Efficient Algorithm for Generalized Multivariate Pattern Discovery. In: IEEE ICDM (2007)","DOI":"10.1109\/ICDM.2007.52"},{"key":"15_CR9","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"417","DOI":"10.1007\/978-3-642-31087-4_44","volume-title":"Advanced Research in Applied Artificial Intelligence","author":"Y. Mohammad","year":"2012","unstructured":"Mohammad, Y., Ohmoto, Y., Nishida, T.: G-steX: Greedy stem extension for free-length constrained motif discovery. In: Jiang, H., Ding, W., Ali, M., Wu, X. (eds.) IEA\/AIE 2012. LNCS, vol.\u00a07345, pp. 417\u2013426. Springer, Heidelberg (2012)"},{"issue":"4","key":"15_CR10","doi-asserted-by":"publisher","first-page":"319","DOI":"10.1007\/s00354-009-0068-x","volume":"27","author":"Y. Mohammad","year":"2009","unstructured":"Mohammad, Y., Nishida, T.: Constrained motif discovery in time series. New Generation Computing\u00a027(4), 319\u2013346 (2009)","journal-title":"New Generation Computing"},{"key":"15_CR11","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"123","DOI":"10.1007\/978-3-642-02568-6_13","volume-title":"Next-Generation Applied Intelligence","author":"Y. Mohammad","year":"2009","unstructured":"Mohammad, Y., Nishida, T.: Robust singular spectrum transform. In: Chien, B.-C., Hong, T.-P., Chen, S.-M., Ali, M. (eds.) IEA\/AIE 2009. LNCS, vol.\u00a05579, pp. 123\u2013132. Springer, Heidelberg (2009)"},{"key":"15_CR12","doi-asserted-by":"crossref","unstructured":"Mohammad, Y., Nishida, T.: On comparing SSA-based change point discovery algorithms. In: 2011 IEEE\/SICE IIS, pp. 938\u2013945 (2011)","DOI":"10.1109\/SII.2011.6147575"},{"key":"15_CR13","first-page":"2537","volume-title":"IEEE\/RSJ IROS","author":"Y. Mohammad","year":"2009","unstructured":"Mohammad, Y., Nishida, T., Okada, S.: Unsupervised simultaneous learning of gestures, actions and their associations for human-robot interaction. In: IEEE\/RSJ IROS, pp. 2537\u20132544. IEEE Press, Piscataway (2009)"},{"key":"15_CR14","doi-asserted-by":"crossref","unstructured":"Mueen, A., Keogh, E., Zhu, Q., Cash, S.: Exact discovery of time series motifs. In: Proc. of 2009 SIAM (2009)","DOI":"10.1137\/1.9781611972795.41"},{"key":"15_CR15","doi-asserted-by":"crossref","unstructured":"Oates, T.: Peruse: An unsupervised algorithm for finding recurring patterns in time series. In: IEEE ICDM, pp. 330\u2013337 (2002)","DOI":"10.1109\/ICDM.2002.1183920"},{"key":"15_CR16","doi-asserted-by":"crossref","unstructured":"Patel, P., Keogh, E., Lin, J., Lonardi, S.: Mining motifs in massive time series databases. In: IEEE ICDM, pp. 370\u2013377 (2002)","DOI":"10.1109\/ICDM.2002.1183925"},{"issue":"7","key":"15_CR17","doi-asserted-by":"publisher","first-page":"666","DOI":"10.1016\/j.knosys.2008.03.022","volume":"21","author":"H. Tang","year":"2008","unstructured":"Tang, H., Liao, S.S.: Discovering original motifs with different lengths from time series. Know.-Based Syst.\u00a021(7), 666\u2013671 (2008)","journal-title":"Know.-Based Syst."},{"key":"15_CR18","doi-asserted-by":"crossref","unstructured":"Tompa, M., Buhler, J.: Finding motifs using random projections. In: 5th Intl. Conference on Computational Molecular Biology, pp. 67\u201374 (April 2001)","DOI":"10.1145\/369133.369172"}],"container-title":["Lecture Notes in Computer Science","Recent Trends in Applied Artificial Intelligence"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-642-38577-3_15","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,4,30]],"date-time":"2025-04-30T10:38:20Z","timestamp":1746009500000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-642-38577-3_15"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2013]]},"ISBN":["9783642385766","9783642385773"],"references-count":18,"URL":"https:\/\/doi.org\/10.1007\/978-3-642-38577-3_15","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2013]]}}}