{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,30]],"date-time":"2025-10-30T20:01:23Z","timestamp":1761854483748,"version":"build-2065373602"},"publisher-location":"Cham","reference-count":28,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030010775"},{"type":"electronic","value":"9783030010782"}],"license":[{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"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":[[2018]]},"DOI":"10.1007\/978-3-030-01078-2_11","type":"book-chapter","created":{"date-parts":[[2018,9,21]],"date-time":"2018-09-21T13:20:29Z","timestamp":1537536029000},"page":"123-133","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Mining Medical Periodic Patterns from Spatio-Temporal Trajectories"],"prefix":"10.1007","author":[{"given":"Dongzhi","family":"Zhang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3304-4627","authenticated-orcid":false,"given":"Kyungmi","family":"Lee","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6886-6201","authenticated-orcid":false,"given":"Ickjai","family":"Lee","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2018,9,22]]},"reference":[{"issue":"9","key":"11_CR1","doi-asserted-by":"crossref","first-page":"2467","DOI":"10.1890\/08-1532.1","volume":"90","author":"S Bar-David","year":"2009","unstructured":"Bar-David, S., Bar-David, I., Cross, P., Ryan, S.J., Knechtel, C.U., Getz, W.M.: Methods for assessing movement path recursion with application to African Buffalo in South Africa. Ecology 90(9), 2467\u20132479 (2009)","journal-title":"Ecology"},{"key":"11_CR2","doi-asserted-by":"crossref","unstructured":"Berlingerio, M., Bonchi, F., Giannotti, F., Turini, F.: Mining clinical data with a temporal dimension: a case study. In: IEEE 2007 IEEE International Conference on Bioinformatics and Biomedicine, pp. 429\u2013436 (2007)","DOI":"10.1109\/BIBM.2007.42"},{"issue":"4","key":"11_CR3","doi-asserted-by":"crossref","first-page":"453","DOI":"10.1109\/TKDE.2007.1002","volume":"19","author":"H Cao","year":"2007","unstructured":"Cao, H., Mamoulis, N., Cheung, D.W.: Discovery of periodic patterns in spatiotemporal sequences. IEEE Trans. Knowl. Data Eng. 19(4), 453\u2013467 (2007)","journal-title":"IEEE Trans. Knowl. Data Eng."},{"key":"11_CR4","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"653","DOI":"10.1007\/978-3-540-24775-3_77","volume-title":"Advances in Knowledge Discovery and Data Mining","author":"H Cao","year":"2004","unstructured":"Cao, H., Cheung, D.W., Mamoulis, N.: Discovering partial periodic patterns in discrete data sequences. In: Dai, H., Srikant, R., Zhang, C. (eds.) PAKDD 2004. LNCS (LNAI), vol. 3056, pp. 653\u2013658. Springer, Heidelberg (2004). https:\/\/doi.org\/10.1007\/978-3-540-24775-3_77"},{"issue":"4","key":"11_CR5","doi-asserted-by":"crossref","first-page":"453","DOI":"10.1109\/TKDE.2007.1002","volume":"19","author":"H Cao","year":"2007","unstructured":"Cao, H., Mamoulis, N., Cheung, D.W.: Discovery of periodic patterns in spatiotemporal sequences. IEEE Trans. Knowl. Data Eng. 19(4), 453\u2013467 (2007)","journal-title":"IEEE Trans. Knowl. Data Eng."},{"key":"11_CR6","unstructured":"Ester, M., Kriegel, H.P., Sander, J., Xu, X.: A density-based algorithm for discovering clusters in large spatial databases with noise. In: Proceedings of the 2nd International Conference on Knowledge Discovery and Data Mining, pp. 226\u2013231. AAAI Press (1996)"},{"key":"11_CR7","doi-asserted-by":"crossref","unstructured":"Froelich, W., Wakulicz-Deja, A.: Mining temporal medical data using adaptive fuzzy cognitive maps. In: IEEE 2009 2nd Conference on Human System Interactions, pp. 16\u201323 (2009)","DOI":"10.1109\/HSI.2009.5090946"},{"key":"11_CR8","doi-asserted-by":"crossref","first-page":"430","DOI":"10.1016\/j.eswa.2016.10.033","volume":"72","author":"S Halder","year":"2017","unstructured":"Halder, S., Samiullah, M., Lee, Y.K.: Supergraph based periodic pattern mining in dynamic social networks. Expert Syst. Appl. 72, 430\u2013442 (2017)","journal-title":"Expert Syst. Appl."},{"key":"11_CR9","doi-asserted-by":"crossref","unstructured":"Han, J., Dong, G., Yin, Y.: Efficient mining of partial periodic patterns in time series database. In: Proceedings of the 15th International Conference on Data Engineering, pp. 106\u2013115. IEEE Computer Society (1999)","DOI":"10.1109\/ICDE.1999.754913"},{"key":"11_CR10","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"401","DOI":"10.1007\/978-3-540-30076-2_40","volume-title":"Data Warehousing and Knowledge Discovery","author":"K-Y Huang","year":"2004","unstructured":"Huang, K.-Y., Chang, C.-H.: Mining periodic patterns in sequence data. In: Kambayashi, Y., Mohania, M., W\u00f6\u00df, W. (eds.) DaWaK 2004. LNCS, vol. 3181, pp. 401\u2013410. Springer, Heidelberg (2004). https:\/\/doi.org\/10.1007\/978-3-540-30076-2_40"},{"key":"11_CR11","doi-asserted-by":"crossref","unstructured":"Ilayaraja, M., Meyyappan, T.: Mining medical data to identify frequent diseases using Apriori Algorithm. In: IEEE 2013 International Conference on Pattern Recognition, Informatics and Mobile Engineering, pp. 194\u2013199 (2013)","DOI":"10.1109\/ICPRIME.2013.6496471"},{"key":"11_CR12","doi-asserted-by":"crossref","unstructured":"Jindal, T., Giridhar, P., Tang, L.A., Li, J., Han, J.: Spatiotemporal periodical pattern mining in traffic data. In: Proceedings of the 2nd ACM SIGKDD International Workshop on Urban Computing, UrbComp 2013, pp. 11:1\u201311:8. ACM, New York (2013)","DOI":"10.1145\/2505821.2505837"},{"issue":"1","key":"11_CR13","doi-asserted-by":"crossref","first-page":"79","DOI":"10.1214\/aoms\/1177729694","volume":"22","author":"S Kullback","year":"1951","unstructured":"Kullback, S., Leibler, R.A.: On information and sufficiency. Ann. Math. Statist. 22(1), 79\u201386 (1951)","journal-title":"Ann. Math. Statist."},{"key":"11_CR14","doi-asserted-by":"crossref","unstructured":"Li, Z., Ding, B., Han, J., Kays, R., Nye, P.: Mining periodic behaviors for moving objects. In: Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD 2010, pp. 1099\u20131108. ACM, New York (2010)","DOI":"10.1145\/1835804.1835942"},{"key":"11_CR15","series-title":"Studies in Big Data","doi-asserted-by":"publisher","first-page":"41","DOI":"10.1007\/978-3-642-40837-3_2","volume-title":"Data Mining and Knowledge Discovery for Big Data","author":"Z Li","year":"2014","unstructured":"Li, Z., Han, J.: Mining periodicity from dynamic and incomplete spatiotemporal data. In: Chu, W.W. (ed.) Data Mining and Knowledge Discovery for Big Data. SBD, vol. 1, pp. 41\u201381. Springer, Heidelberg (2014). https:\/\/doi.org\/10.1007\/978-3-642-40837-3_2"},{"issue":"2","key":"11_CR16","doi-asserted-by":"crossref","first-page":"355","DOI":"10.1007\/s10618-011-0227-9","volume":"24","author":"Z Li","year":"2011","unstructured":"Li, Z., Han, J., Ding, B., Kays, R.: Mining periodic behaviors of object movements for animal and biological sustainability studies. Data Min. Knowl. Discov. 24(2), 355\u2013386 (2011)","journal-title":"Data Min. Knowl. Discov."},{"key":"11_CR17","doi-asserted-by":"crossref","unstructured":"Li, Z., et al.: Movemine: Mining moving object data for discovery of animal movement patterns. ACM Transactions on Intelligent Systems and Technology 2(4), 37 (2011)","DOI":"10.1145\/1989734.1989741"},{"key":"11_CR18","doi-asserted-by":"crossref","unstructured":"Lomb, N.R.: Least-squares frequency analysis of unequally spaced data. Astrophys. Space Sci. 39, 447\u2013462 (1976)","DOI":"10.1007\/BF00648343"},{"key":"11_CR19","doi-asserted-by":"crossref","unstructured":"Parthasarathy, S., Mehta, S., Srinivasan, S.: Robust periodicity detection algorithms. In: Proceedings of the 15th ACM International Conference on Information and Knowledge Management, CIKM 2006, pp. 874\u2013875. ACM, New York (2006)","DOI":"10.1145\/1183614.1183774"},{"key":"11_CR20","doi-asserted-by":"crossref","unstructured":"Scargle, J.D.: Studies in astronomical time series analysis. II - statistical aspects of spectral analysis of unevenly spaced data. Astrophys. J. 263, 835\u2013853 (12 1982)","DOI":"10.1086\/160554"},{"key":"11_CR21","doi-asserted-by":"crossref","unstructured":"Sheng, C., Hsu, W., Lee, M.L.: Mining dense periodic patterns in time series data. In: Proceedings of the 22nd International Conference on Data Engineering., p. 115. IEEE Computer Society (2006)","DOI":"10.1109\/ICDE.2006.97"},{"key":"11_CR22","doi-asserted-by":"crossref","unstructured":"Vlachos, M., Yu, P., Castelli, V.: On periodicity detection and structural periodic similarity. In: Proceedings of the 5th SIAM International Conference on Data Mining, pp. 449\u2013460 (2005)","DOI":"10.1137\/1.9781611972757.40"},{"issue":"1","key":"11_CR23","doi-asserted-by":"crossref","first-page":"164","DOI":"10.2307\/1938423","volume":"70","author":"BJ Worton","year":"1989","unstructured":"Worton, B.J.: Kernel methods for estimating the utilization distribution in home-range studies. Ecology 70(1), 164\u2013168 (1989)","journal-title":"Ecology"},{"issue":"3","key":"11_CR24","doi-asserted-by":"crossref","first-page":"613","DOI":"10.1109\/TKDE.2003.1198394","volume":"15","author":"J Yang","year":"2003","unstructured":"Yang, J., Wang, W., Yu, P.S.: Mining asynchronous periodic patterns in time series data. IEEE Trans. Knowl. Data Eng. 15(3), 613\u2013628 (2003)","journal-title":"IEEE Trans. Knowl. Data Eng."},{"key":"11_CR25","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.eswa.2017.09.040","volume":"92","author":"D Zhang","year":"2018","unstructured":"Zhang, D., Lee, K., Lee, I.: Hierarchical trajectory clustering for spatio-temporal periodic pattern mining. Expert Syst. Appl. 92, 1\u201311 (2018)","journal-title":"Expert Syst. Appl."},{"key":"11_CR26","doi-asserted-by":"crossref","unstructured":"Zhang, D., Lee, K., Lee, I.: Semantic periodic pattern mining from spatio-temporal trajectories. Knowledge-Based Systems (2018, submitted)","DOI":"10.1016\/j.ins.2019.06.035"},{"issue":"2","key":"11_CR27","doi-asserted-by":"crossref","first-page":"7","DOI":"10.1145\/1267066.1267068","volume":"1","author":"M Zhang","year":"2007","unstructured":"Zhang, M., Kao, B., Cheung, D.W., Yip, K.Y.: Mining periodic patterns with gap requirement from sequences. ACM Transaction on Knowledge Discovery from Data 1(2), 7 (2007)","journal-title":"ACM Transaction on Knowledge Discovery from Data"},{"key":"11_CR28","unstructured":"Zhu, Y.L., Li, S.J., Bao, N.N., Wan, D.S.: Mining approximate periodic pattern in hydrological time series. In: Abbasi, A., Giesen, N. (eds.) EGU General Assembly Conference Abstracts. EGU General Assembly Conference Abstracts, vol. 14, p. 515, April 2012"}],"container-title":["Lecture Notes in Computer Science","Health Information Science"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-01078-2_11","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,7,8]],"date-time":"2025-07-08T15:54:48Z","timestamp":1751990088000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-01078-2_11"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018]]},"ISBN":["9783030010775","9783030010782"],"references-count":28,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-01078-2_11","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2018]]},"assertion":[{"value":"HIS","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Health Information Science","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Cairns, QLD","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Australia","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2018","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"5 October 2018","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"7 October 2018","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"7","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"his22018","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.his-conferences.org\/2018\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}