{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,25]],"date-time":"2025-03-25T14:47:08Z","timestamp":1742914028915,"version":"3.40.3"},"publisher-location":"Cham","reference-count":22,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030147983"},{"type":"electronic","value":"9783030147990"}],"license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"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":[],"published-print":{"date-parts":[[2019]]},"DOI":"10.1007\/978-3-030-14799-0_20","type":"book-chapter","created":{"date-parts":[[2019,4,1]],"date-time":"2019-04-01T23:07:34Z","timestamp":1554160054000},"page":"231-243","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Multidimensional Permutation Entropy for Constrained Motif Discovery"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6962-7619","authenticated-orcid":false,"given":"Yomna","family":"Rayan","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2272-7254","authenticated-orcid":false,"given":"Yasser","family":"Mohammad","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7905-6685","authenticated-orcid":false,"given":"Samia A.","family":"Ali","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2019,3,7]]},"reference":[{"issue":"17","key":"20_CR1","doi-asserted-by":"publisher","first-page":"174102","DOI":"10.1103\/PhysRevLett.88.174102","volume":"88","author":"C Bandt","year":"2002","unstructured":"Bandt, C., Pompe, B.: Permutation entropy: a natural complexity measure for time series. Phys. Rev. Lett. 88(17), 174102 (2002). https:\/\/doi.org\/10.1103\/PhysRevLett.88.174102","journal-title":"Phys. Rev. Lett."},{"key":"20_CR2","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"462","DOI":"10.1007\/11871637_44","volume-title":"Knowledge Discovery in Databases","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. 4213, pp. 462\u2013469. Springer, Heidelberg (2006). https:\/\/doi.org\/10.1007\/11871637_44"},{"issue":"15","key":"20_CR3","doi-asserted-by":"publisher","first-page":"2033","DOI":"10.1016\/j.patrec.2012.12.014","volume":"34","author":"R Chavarriaga","year":"2013","unstructured":"Chavarriaga, R., et al.: The opportunity challenge: a benchmark database for on-body sensor-based activity recognition. Pattern Recogn. Lett. 34(15), 2033\u20132042 (2013). https:\/\/doi.org\/10.1016\/j.patrec.2012.12.014","journal-title":"Pattern Recogn. Lett."},{"key":"20_CR4","doi-asserted-by":"publisher","unstructured":"Chiu, B., Keogh, E., Lonardi, S.: Probabilistic discovery of time series motifs. In: 9th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD 2003, pp. 493\u2013498. ACM, New York (2003).https:\/\/doi.org\/10.1145\/956750.956808","DOI":"10.1145\/956750.956808"},{"key":"20_CR5","doi-asserted-by":"publisher","first-page":"812","DOI":"10.1016\/j.physa.2016.06.012","volume":"461","author":"S He","year":"2016","unstructured":"He, S., Sun, K., Wang, H.: Multivariate permutation entropy and its application for complexity analysis of chaotic systems. Phys. A Stat. Mech. Appl. 461, 812\u2013823 (2016)","journal-title":"Phys. A Stat. Mech. Appl."},{"issue":"2","key":"20_CR6","doi-asserted-by":"publisher","first-page":"107","DOI":"10.1007\/s10618-007-0064-z","volume":"15","author":"J Lin","year":"2007","unstructured":"Lin, J., Keogh, E., Wei, L., Lonardi, S.: Experiencing sax: a novel symbolic representation of time series. Data Min. Knowl. Disc. 15(2), 107\u2013144 (2007)","journal-title":"Data Min. Knowl. Disc."},{"key":"20_CR7","doi-asserted-by":"publisher","unstructured":"Mohammad, Y., Nishida, T.: Learning interaction protocols using augmented Baysian networks applied to guided navigation. In: IEEE\/RSJ International Conference on Intelligent Robots and Systems, IROS 2010, pp. 4119\u20134126. IEEE, October 2010. https:\/\/doi.org\/10.1109\/IROS.2010.5651719","DOI":"10.1109\/IROS.2010.5651719"},{"key":"20_CR8","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","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 (LNAI), vol. 7345, pp. 417\u2013426. Springer, Heidelberg (2012). https:\/\/doi.org\/10.1007\/978-3-642-31087-4_44"},{"issue":"4","key":"20_CR9","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 Gener. Comput. 27(4), 319\u2013346 (2009)","journal-title":"New Gener. Comput."},{"key":"20_CR10","doi-asserted-by":"crossref","unstructured":"Mohammad, Y., Nishida, T.: On comparing SSA-based change point discovery algorithms. In: IEEE\/SICE International Symposium on System Integration, SII 2011, pp. 938\u2013945 (2011)","DOI":"10.1109\/SII.2011.6147575"},{"key":"20_CR11","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"23","DOI":"10.1007\/978-3-319-05458-2_3","volume-title":"Intelligent Information and Database Systems","author":"Y Mohammad","year":"2014","unstructured":"Mohammad, Y., Nishida, T.: Exact discovery of length-range motifs. In: Nguyen, N.T., Attachoo, B., Trawi\u0144ski, B., Somboonviwat, K. (eds.) ACIIDS 2014. LNCS (LNAI), vol. 8398, pp. 23\u201332. Springer, Cham (2014). https:\/\/doi.org\/10.1007\/978-3-319-05458-2_3"},{"key":"20_CR12","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"417","DOI":"10.1007\/978-3-319-07467-2_44","volume-title":"Modern Advances in Applied Intelligence","author":"Y Mohammad","year":"2014","unstructured":"Mohammad, Y., Nishida, T.: Scale invariant multi-length motif discovery. In: Ali, M., Pan, J.-S., Chen, S.-M., Horng, M.-F. (eds.) IEA\/AIE 2014. LNCS (LNAI), vol. 8482, pp. 417\u2013426. Springer, Cham (2014). https:\/\/doi.org\/10.1007\/978-3-319-07467-2_44"},{"key":"20_CR13","first-page":"1","volume":"44","author":"Y Mohammad","year":"2015","unstructured":"Mohammad, Y., Nishida, T.: Exact multi-length scale and mean invariant motif discovery. Appl. Intell. 44, 1\u201318 (2015)","journal-title":"Appl. Intell."},{"issue":"1","key":"20_CR14","doi-asserted-by":"publisher","first-page":"112","DOI":"10.1007\/s10489-014-0531-3","volume":"42","author":"Y Mohammad","year":"2015","unstructured":"Mohammad, Y., Nishida, T.: Shift density estimation based approximately recurring motif discovery. Appl. Intell. 42(1), 112\u2013134 (2015)","journal-title":"Appl. Intell."},{"key":"20_CR15","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"128","DOI":"10.1007\/978-3-319-42007-3_12","volume-title":"Trends in Applied Knowledge-Based Systems and Data Science","author":"Y Mohammad","year":"2016","unstructured":"Mohammad, Y., Nishida, T.: $$MC^2$$: an integrated toolbox for change, causality and motif discovery. In: Fujita, H., Ali, M., Selamat, A., Sasaki, J., Kurematsu, M. (eds.) IEA\/AIE 2016. LNCS (LNAI), vol. 9799, pp. 128\u2013141. Springer, Cham (2016). https:\/\/doi.org\/10.1007\/978-3-319-42007-3_12"},{"key":"20_CR16","doi-asserted-by":"crossref","unstructured":"Mohammad, Y., Nishida, T.: Unsupervised discovery of basic human actions from activity recording datasets. In: IEEE\/SICE International Symposium on System Integration, SII 2012, pp. 402\u2013409. IEEE (2012)","DOI":"10.1109\/SII.2012.6426960"},{"key":"20_CR17","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"114","DOI":"10.1007\/978-3-642-31087-4_13","volume-title":"Advanced Research in Applied Artificial Intelligence","author":"Y Mohammad","year":"2012","unstructured":"Mohammad, Y., Ohmoto, Y., Nishida, T.: CPMD: a matlab toolbox for change point and constrained motif discovery. In: Jiang, H., Ding, W., Ali, M., Wu, X. (eds.) IEA\/AIE 2012. LNCS (LNAI), vol. 7345, pp. 114\u2013123. Springer, Heidelberg (2012). https:\/\/doi.org\/10.1007\/978-3-642-31087-4_13"},{"issue":"7","key":"20_CR18","doi-asserted-by":"publisher","first-page":"1186","DOI":"10.3390\/e14071186","volume":"14","author":"FC Morabito","year":"2012","unstructured":"Morabito, F.C., Labate, D., Foresta, F.L., Bramanti, A., Morabito, G., Palamara, I.: Multivariate multi-scale permutation entropy for complexity analysis of Alzheimer\u2019s disease EEG. Entropy 14(7), 1186\u20131202 (2012)","journal-title":"Entropy"},{"key":"20_CR19","doi-asserted-by":"crossref","unstructured":"Mueen, A.: Enumeration of time series motifs of all lengths. In: 2013 IEEE 13th International Conference on Data Mining (ICDM). IEEE (2013)","DOI":"10.1109\/ICDM.2013.27"},{"key":"20_CR20","doi-asserted-by":"crossref","unstructured":"Mueen, A., Keogh, E., Zhu, Q., Cash, S., Westover, B.: Exact discovery of time series motifs. In: SIAM International Conference on Data Mining, SDM 2009, pp. 473\u2013484 (2009)","DOI":"10.1137\/1.9781611972795.41"},{"issue":"2","key":"20_CR21","doi-asserted-by":"publisher","first-page":"249","DOI":"10.1140\/epjst\/e2013-01862-7","volume":"222","author":"M Riedl","year":"2013","unstructured":"Riedl, M., M\u00fcller, A., Wessel, N.: Practical considerations of permutation entropy. Eur. Phys. J. Spec. Top. 222(2), 249\u2013262 (2013)","journal-title":"Eur. Phys. J. Spec. Top."},{"issue":"2\/3","key":"20_CR22","doi-asserted-by":"publisher","first-page":"269","DOI":"10.1007\/s10994-005-5829-2","volume":"58","author":"Y Tanaka","year":"2005","unstructured":"Tanaka, Y., Iwamoto, K., Uehara, K.: Discovery of time-series motif from multi-dimensional data based on MDL principle. Mach. Learn. 58(2\/3), 269\u2013300 (2005)","journal-title":"Mach. Learn."}],"container-title":["Lecture Notes in Computer Science","Intelligent Information and Database Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-14799-0_20","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,12]],"date-time":"2024-03-12T13:37:20Z","timestamp":1710250640000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-14799-0_20"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"ISBN":["9783030147983","9783030147990"],"references-count":22,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-14799-0_20","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2019]]},"assertion":[{"value":"7 March 2019","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ACIIDS","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Asian Conference on Intelligent Information and Database Systems","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Yogyakarta","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Indonesia","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2019","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"8 April 2019","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"11 April 2019","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"11","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"aciids2019","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/aciids.pwr.edu.pl\/2019\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}