{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2023,8,12]],"date-time":"2023-08-12T05:10:21Z","timestamp":1691817021517},"reference-count":33,"publisher":"Springer Science and Business Media LLC","issue":"2","license":[{"start":{"date-parts":[[2015,7,11]],"date-time":"2015-07-11T00:00:00Z","timestamp":1436572800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Appl Intell"],"published-print":{"date-parts":[[2016,3]]},"DOI":"10.1007\/s10489-015-0684-8","type":"journal-article","created":{"date-parts":[[2015,7,10]],"date-time":"2015-07-10T04:59:17Z","timestamp":1436504357000},"page":"322-339","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Exact multi-length scale and mean invariant motif discovery"],"prefix":"10.1007","volume":"44","author":[{"given":"Yasser","family":"Mohammad","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Toyoaki","family":"Nishida","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2015,7,11]]},"reference":[{"key":"684_CR1","unstructured":"Baldwin DA, Baird JA (1999) Early Social Cognition, chap. Action analysis: A gateway to intentional inference, pp. 215\u2013240. Lawrence Erlbaum Associates, Inc., Hillsdale, NJ"},{"key":"684_CR2","doi-asserted-by":"crossref","first-page":"708","DOI":"10.1111\/1467-8624.00310","volume":"72","author":"DA Baldwin","year":"2001","unstructured":"Baldwin DA, Baird JA, Saylor MM, Clark MA (2001) Infants detect structure in human ac-tion: A first step toward understanding others? intentions Child Dev 72:708\u2013718","journal-title":"Child Dev"},{"key":"684_CR3","doi-asserted-by":"crossref","unstructured":"Buhler J, Tompa M (2001) Finding motifs using random projections. In: 5th Internatinal Conference on Computational Biology. pp. 69\u201376","DOI":"10.1145\/369133.369172"},{"key":"684_CR4","doi-asserted-by":"crossref","unstructured":"Catalano J, Armstrong T, Oates T (2006) Discovering patterns in real-valued time series. In: Knowledge Discovery in Databases: PKDD 2006. pp. 462\u2013469","DOI":"10.1007\/11871637_44"},{"key":"684_CR5","doi-asserted-by":"crossref","unstructured":"Chiu B, Keogh E, Lonardi S (2003) Probabilistic discovery of time series motifs. In: KDD \u201903: Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining. pp. 493\u2013498. ACM, New York, NY,USA","DOI":"10.1145\/956750.956808"},{"key":"684_CR6","unstructured":"CMU Cmu motion capture dataset, http:\/\/mocap.cs.cmu.edu"},{"issue":"1","key":"684_CR7","doi-asserted-by":"crossref","first-page":"21","DOI":"10.1093\/bioinformatics\/bti745","volume":"22","author":"KL Jensen","year":"2006","unstructured":"Jensen KL, Styczynxki MP, Rigoutsos I, Stephanopoulos GN (2006) A generic motif discovery algorithm for sequenctial data. BioInformatics 22(1):21\u201328","journal-title":"BioInformatics"},{"key":"684_CR8","doi-asserted-by":"crossref","unstructured":"Keogh E, Lin J, Fu A (2005) Hot sax: efficiently finding the most unusual time series subsequence. Data Mining, Fifth IEEE International Conference on pp. 8","DOI":"10.1109\/ICDM.2005.79"},{"issue":"4","key":"684_CR9","doi-asserted-by":"crossref","first-page":"349","DOI":"10.1023\/A:1024988512476","volume":"7","author":"E Keogh","year":"2003","unstructured":"Keogh E, Kasetty S (2003) On the need for time series data mining benchmarks: a survey and empirical demonstration. J Data Min Knowl Discov 7(4):349\u2013371","journal-title":"J Data Min Knowl Discov"},{"key":"684_CR10","doi-asserted-by":"crossref","unstructured":"Kipp M (2001) Anvil - a generic annotation tool for multimodal dialogue. In: Proceedings of the 7th European Conference on Speech Communication and Technology (Eurospeech). pp. 1367\u20131370","DOI":"10.21437\/Eurospeech.2001-354"},{"key":"684_CR11","unstructured":"Lin J, Keogh E, Lonardi S, Patel P (2002) Finding motifs in time series. In: In the 2nd workshop on temporal data mining, at the 8th ACM SIGKDD international. pp. 53\u201368"},{"key":"684_CR12","unstructured":"Minnen D, Starner T, Essa I, Isbell C (2007) Improving activity discovery with automatic neighborhood estimation. In: Int. Joint Conf. on Artificial Intelligence"},{"key":"684_CR13","unstructured":"Mohammad Y, Ohmoto Y, Nishida T (2012) Gstex: Greedy stem extension for free-length constrained motif discovery. In: 25th IEA\/AIE conference. pp. 417\u2013426"},{"issue":"4","key":"684_CR14","doi-asserted-by":"crossref","first-page":"319","DOI":"10.1007\/s00354-009-0068-x","volume":"27","author":"Y Mohammad","year":"2009","unstructured":"Mohammad Y, Nishida T (2009) Constrained motif discovery in time series. N Gener Comput 27(4):319\u2013346","journal-title":"N Gener Comput"},{"key":"684_CR15","doi-asserted-by":"crossref","unstructured":"Mohammad Y, Nishida T (2009) Learning interaction structure using a hierarchy of dynamical systems. In: IEA\/AIE. pp. 253\u2013 258","DOI":"10.1007\/978-3-540-92814-0_39"},{"issue":"4","key":"684_CR16","doi-asserted-by":"crossref","first-page":"369","DOI":"10.1007\/s12369-012-0153-z","volume":"4","author":"Y Mohammad","year":"2012","unstructured":"Mohammad Y, Nishida T (2012) Fluid imitation: Discovering what to imitate. Int J Soc Robot 4(4):369\u2013382","journal-title":"Int J Soc Robot"},{"key":"684_CR17","doi-asserted-by":"crossref","unstructured":"Mohammad Y, Nishida T (2012) Unsupervised discovery of basic human actions from activity recording datasets. In: Proceedings of the IEEE\/SICE Intl Symposium on System Integration","DOI":"10.1109\/SII.2012.6426960"},{"key":"684_CR18","doi-asserted-by":"crossref","unstructured":"Mohammad Y, Nishida T (2013) Approximately recurring motif discovery using shift density estimation. In: IEA\/AIE. pp. 141\u2013150","DOI":"10.1007\/978-3-642-38577-3_15"},{"key":"684_CR19","doi-asserted-by":"crossref","unstructured":"Mohammad Y, Nishida T (2014) Exact discovery of length-range motifs. In: The 6th Asian Conference on Intelligent Information and Database Systems(ACIIDS). pp. 23\u201332","DOI":"10.1007\/978-3-319-05458-2_3"},{"key":"684_CR20","doi-asserted-by":"crossref","unstructured":"Mohammad Y, Nishida T (2014) Scale invariant multi-length motif discovery. In: Modern Advances in Applied Intelligence, pp. 417\u2013426. Springer","DOI":"10.1007\/978-3-319-07467-2_44"},{"key":"684_CR21","unstructured":"Mohammad Y, Nishida T (2014) Shift density estimation based approximately recurring motif discovery. Appl Intell:1\u201323"},{"key":"684_CR22","doi-asserted-by":"crossref","unstructured":"Mohammad Y, Nishida T, Okada S (2009) Unsupervised simultaneous learning of gestures, actions and their associations for human-robot interaction. In: Proceedings of the 2009 IEEE\/RSJ international conference on Intelligent robots and systems. pp. 2537\u20132544. IROS\u201909, IEEE Press, Piscataway, NJ, USA. http:\/\/dl.acm.org\/citation.cfm?id=1733023.1733155","DOI":"10.1109\/IROS.2009.5353987"},{"key":"684_CR23","doi-asserted-by":"crossref","unstructured":"Mohammad YFO, Ohmoto Y, Nishida T (2012) G-stex: Greedy stem extension for free-length constrained motif discovery. In: IEA\/AIE. pp. 417\u2013426","DOI":"10.1007\/978-3-642-31087-4_44"},{"key":"684_CR24","doi-asserted-by":"crossref","unstructured":"Mueen A (2013) Enumeration of time series motifs of all lengths. In: IEEE 13th International Conference on Data Mining (ICDM), 2013. IEEE","DOI":"10.1109\/ICDM.2013.27"},{"key":"684_CR25","doi-asserted-by":"crossref","unstructured":"Mueen A, Keogh EJ, Zhu Q, Cash S, Westover MB (2009) Exact discovery of time series motifs. In: SDM. pp. 473\u2013 484","DOI":"10.1137\/1.9781611972795.41"},{"key":"684_CR26","doi-asserted-by":"crossref","unstructured":"Oates T (2002) Peruse: An unsupervised algorithm for finding recurring patterns in time series. In: International Conference on Data Mining. pp. 330\u2013337","DOI":"10.1109\/ICDM.2002.1183920"},{"key":"684_CR27","unstructured":"Pantic M, Pentland A, Nijholt A, Huang T (2007) Machine understanding of human behavior. In: IJCAI 2007 Workshop on AI for Human Computing (AI4HC\u201907). pp. 13\u201324. University of Twente, Centre for Telematics and Information Technology (CTIT). http:\/\/doc.utwente.nl\/64116\/"},{"key":"684_CR28","doi-asserted-by":"crossref","unstructured":"Patel P, Keogh E, Lin J, Lonardi S Mining motifs in massive time series databases. IEEE International Conference on Data Mining pp. 370\u2013377 (2002), http:\/\/ieeexplore.ieee.org\/lpdocs\/epic03\/wrapper.htm?arnumber=1183925","DOI":"10.1109\/ICDM.2002.1183925"},{"key":"684_CR29","doi-asserted-by":"crossref","unstructured":"Rakthanmanon T, Keogh EJ, Lonardi S, Evans S (2011) Time series epenthesis: Clustering time series streams requires ignoring some data. In: 2011 IEEE 11th International Conference on Data Mining (ICDM). pp. 547\u2013556. IEEE","DOI":"10.1109\/ICDM.2011.146"},{"issue":"1","key":"684_CR30","doi-asserted-by":"crossref","first-page":"113","DOI":"10.1080\/15248370709336996","volume":"8","author":"MM Saylor","year":"2007","unstructured":"Saylor MM, Baldwin DA, Baird JA, LaBounty J (2007) Infants? on-line segmentation of dynamic human action. J Cogn Dev 8(1):113\u2013128","journal-title":"J Cogn Dev"},{"key":"684_CR31","doi-asserted-by":"crossref","first-page":"626","DOI":"10.1037\/0012-1649.15.6.626","volume":"15","author":"ES Spelke","year":"1979","unstructured":"Spelke ES (1979) Perceiving bimodally specified events in infancy. Dev Psychobiol 15:626\u2013636","journal-title":"Dev Psychobiol"},{"issue":"7","key":"684_CR32","doi-asserted-by":"crossref","first-page":"666","DOI":"10.1016\/j.knosys.2008.03.022","volume":"21","author":"H Tang","year":"2008","unstructured":"Tang H, Liao SS (2008) Discovering original motifs with different lengths from time series. Know-Based Syst 21(7):666\u2013 671","journal-title":"Know-Based Syst"},{"key":"684_CR33","unstructured":"Vahdatpour A, Amini N, Sarrafzadeh M (2009) Toward unsupervised activity discovery using multi-dimensional motif detection in time series. In: IJCAI. pp. 1261\u20131266"}],"container-title":["Applied Intelligence"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10489-015-0684-8.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s10489-015-0684-8\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10489-015-0684-8","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,8,12]],"date-time":"2023-08-12T04:30:34Z","timestamp":1691814634000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s10489-015-0684-8"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015,7,11]]},"references-count":33,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2016,3]]}},"alternative-id":["684"],"URL":"https:\/\/doi.org\/10.1007\/s10489-015-0684-8","relation":{},"ISSN":["0924-669X","1573-7497"],"issn-type":[{"value":"0924-669X","type":"print"},{"value":"1573-7497","type":"electronic"}],"subject":[],"published":{"date-parts":[[2015,7,11]]}}}