{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,24]],"date-time":"2026-01-24T23:44:27Z","timestamp":1769298267693,"version":"3.49.0"},"publisher-location":"Cham","reference-count":24,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783319687643","type":"print"},{"value":"9783319687650","type":"electronic"}],"license":[{"start":{"date-parts":[[2017,1,1]],"date-time":"2017-01-01T00:00:00Z","timestamp":1483228800000},"content-version":"unspecified","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":[[2017]]},"DOI":"10.1007\/978-3-319-68765-0_24","type":"book-chapter","created":{"date-parts":[[2017,10,3]],"date-time":"2017-10-03T03:48:52Z","timestamp":1507002532000},"page":"284-296","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":14,"title":["Computational Topology Techniques for Characterizing Time-Series Data"],"prefix":"10.1007","author":[{"given":"Nicole","family":"Sanderson","sequence":"first","affiliation":[]},{"given":"Elliott","family":"Shugerman","sequence":"additional","affiliation":[]},{"given":"Samantha","family":"Molnar","sequence":"additional","affiliation":[]},{"given":"James D.","family":"Meiss","sequence":"additional","affiliation":[]},{"given":"Elizabeth","family":"Bradley","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2017,10,4]]},"reference":[{"key":"24_CR1","doi-asserted-by":"publisher","first-page":"1278","DOI":"10.1137\/140971415","volume":"14","author":"Z Alexander","year":"2015","unstructured":"Alexander, Z., Bradley, E., Meiss, J., Sanderson, N.: Simplicial multivalued maps and the witness complex for dynamical analysis of time series. SIAM J. Appl. Dyn. Sys. 14, 1278\u20131307 (2015)","journal-title":"SIAM J. Appl. Dyn. Sys."},{"issue":"9","key":"24_CR2","doi-asserted-by":"publisher","first-page":"097610","DOI":"10.1063\/1.4917289","volume":"25","author":"E Bradley","year":"2015","unstructured":"Bradley, E., Kantz, H.: Nonlinear time-series analysis revisited. Chaos 25(9), 097610 (2015)","journal-title":"Chaos"},{"key":"24_CR3","doi-asserted-by":"publisher","first-page":"2729","DOI":"10.1103\/PhysRevLett.61.2729","volume":"61","author":"P Cvitanovic","year":"1988","unstructured":"Cvitanovic, P.: Invariant measurement of strange sets in terms of circles. Phys. Rev. Lett. 61, 2729\u20132732 (1988)","journal-title":"Phys. Rev. Lett."},{"key":"24_CR4","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"21","DOI":"10.1007\/978-3-642-03915-7_3","volume-title":"Advances in Intelligent Data Analysis VIII","author":"T Dasu","year":"2009","unstructured":"Dasu, T., Krishnan, S., Lin, D., Venkatasubramanian, S., Yi, K.: Change (detection) you can believe in: finding distributional shifts in data streams. In: Adams, N.M., Robardet, C., Siebes, A., Boulicaut, J.-F. (eds.) IDA 2009. LNCS, vol. 5772, pp. 21\u201334. Springer, Heidelberg (2009). doi:10.1007\/978-3-642-03915-7_3"},{"issue":"1","key":"24_CR5","doi-asserted-by":"publisher","first-page":"339","DOI":"10.2140\/agt.2007.7.339","volume":"7","author":"V de Silva","year":"2007","unstructured":"de Silva, V., Ghrist, R.: Coverage in sensor networks via persistent homology. Alg. Geom. Topology 7(1), 339\u2013358 (2007)","journal-title":"Alg. Geom. Topology"},{"key":"24_CR6","unstructured":"Domingos, P.: A general framework for mining massive data streams. In: Proceedings Interface 2006 (2006)"},{"key":"24_CR7","doi-asserted-by":"publisher","first-page":"511","DOI":"10.1007\/s00454-002-2885-2","volume":"28","author":"H Edelsbrunner","year":"2002","unstructured":"Edelsbrunner, H., Letscher, D., Zomorodian, A.: Topological persistence and simplification. Disc. Comp. Geom. 28, 511\u2013533 (2002)","journal-title":"Disc. Comp. Geom."},{"key":"24_CR8","doi-asserted-by":"publisher","first-page":"43","DOI":"10.1145\/174462.156635","volume":"13","author":"H Edelsbrunner","year":"1994","unstructured":"Edelsbrunner, H., M\u00fccke, E.: Three-dimensional alpha shapes. ACM Trans. Graph. 13, 43\u201372 (1994)","journal-title":"ACM Trans. Graph."},{"issue":"2","key":"24_CR9","doi-asserted-by":"publisher","first-page":"1134","DOI":"10.1103\/PhysRevA.33.1134","volume":"33","author":"A Fraser","year":"1986","unstructured":"Fraser, A., Swinney, H.: Independent coordinates for strange attractors from mutual information. Phys. Rev. A 33(2), 1134\u20131140 (1986)","journal-title":"Phys. Rev. A"},{"key":"24_CR10","doi-asserted-by":"crossref","unstructured":"Gama, J.: Knowledge Discovery from Data Streams. Chapman and Hall\/CRC, Atlanta (2010)","DOI":"10.1201\/EBK1439826119"},{"key":"24_CR11","doi-asserted-by":"publisher","first-page":"49","DOI":"10.1016\/j.physd.2016.03.006","volume":"334","author":"J Garland","year":"2014","unstructured":"Garland, J., Bradley, E., Meiss, J.: Exploring the topology of dynamical reconstructions. Physica D 334, 49\u201359 (2014)","journal-title":"Physica D"},{"issue":"1","key":"24_CR12","doi-asserted-by":"publisher","first-page":"61","DOI":"10.1090\/S0273-0979-07-01191-3","volume":"45","author":"R Ghrist","year":"2008","unstructured":"Ghrist, R.: Barcodes: the persistent topology of data. Bull. Amer. Math. Soc. 45(1), 61\u201375 (2008)","journal-title":"Bull. Amer. Math. Soc."},{"key":"24_CR13","series-title":"Applied Mathematical Sciences","doi-asserted-by":"crossref","DOI":"10.1007\/b97315","volume-title":"Computational Homology","author":"T Kaczynski","year":"2004","unstructured":"Kaczynski, T., Mischaikow, K., Mrozek, M.: Computational Homology. AMS, vol. 157. Springer, New York (2004)"},{"key":"24_CR14","doi-asserted-by":"publisher","first-page":"3403","DOI":"10.1103\/PhysRevA.45.3403","volume":"45","author":"MB Kennel","year":"1992","unstructured":"Kennel, M.B., Brown, R., Abarbanel, H.D.I.: Determining minimum embedding dimension using a geometrical construction. Phys. Rev. A 45, 3403\u20133411 (1992)","journal-title":"Phys. Rev. A"},{"key":"24_CR15","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/0167-2789(92)00026-U","volume":"65","author":"M Muldoon","year":"1993","unstructured":"Muldoon, M., MacKay, R., Huke, J., Broomhead, D.: Topology from a time series. Physica D 65, 1\u201316 (1993)","journal-title":"Physica D"},{"key":"24_CR16","volume-title":"Elements of Algebraic Topology","author":"J Munkres","year":"1984","unstructured":"Munkres, J.: Elements of Algebraic Topology. Benjamin\/Cummings, Menlo Park (1984)"},{"key":"24_CR17","doi-asserted-by":"crossref","unstructured":"Rakthanmanon, T., Keogh, E., Lonardi, S., Evans, S.: Time series epenthesis: clustering time series streams requires ignoring some data. In: Proceedings ICDM, pp. 547\u2013556. IEEE, December 2011","DOI":"10.1109\/ICDM.2011.146"},{"key":"24_CR18","series-title":"Lecture Notes in Physics","doi-asserted-by":"publisher","first-page":"261","DOI":"10.1007\/3-540-45782-8_11","volume-title":"Morphology of Condensed Matter","author":"V Robins","year":"2002","unstructured":"Robins, V.: Computational topology for point data: Betti numbers of $$\\alpha $$-shapes. In: Mecke, K., Stoyan, D. (eds.) Morphology of Condensed Matter. Lecture Notes in Physics, vol. 600, pp. 261\u2013274. Springer, Heidelberg (2002)"},{"key":"24_CR19","doi-asserted-by":"crossref","first-page":"505","DOI":"10.3233\/IDA-2004-8507","volume":"8","author":"V Robins","year":"2004","unstructured":"Robins, V., Abernethy, J., Rooney, N., Bradley, E.: Topology and intelligent data analysis. Intell. Data Anal. 8, 505\u2013515 (2004)","journal-title":"Intell. Data Anal."},{"key":"24_CR20","doi-asserted-by":"publisher","first-page":"99","DOI":"10.1016\/j.physd.2016.03.007","volume":"334","author":"V Robins","year":"2015","unstructured":"Robins, V., Turner, K.: Principal component analysis of persistent homology rank functions with case studies of spatial point patterns, sphere packing and colloids. Physica D 334, 99\u2013117 (2015)","journal-title":"Physica D"},{"key":"24_CR21","unstructured":"de Silva, V., Carlsson, E.: Topological estimation using witness complexes. In: Alexa, M., Rusinkiewicz, S. (eds.) Eurographics Symposium on Point-Based Graphics, pp. 157\u2013166. The Eurographics Association (2004)"},{"key":"24_CR22","doi-asserted-by":"crossref","unstructured":"Song, M., Wang, H.: Highly efficient incremental estimation of Gaussian mixture models for online data stream clustering. In: Priddy, K. (ed.) Proceedings of SPIE, vol. 5803, pp. 174\u2013183. International Society for Optical Engineering (2005)","DOI":"10.1117\/12.601724"},{"issue":"6","key":"24_CR23","doi-asserted-by":"publisher","first-page":"408","DOI":"10.1002\/jcc.23816","volume":"36","author":"K Xia","year":"2015","unstructured":"Xia, K., Feng, X., Tong, Y., Wei, G.: Persistent homology for the quantitative prediction of fullerene stability. J. Comput. Chem. 36(6), 408\u2013422 (2015)","journal-title":"J. Comput. Chem."},{"key":"24_CR24","unstructured":"Zomorodian, A.: Topological data analysis. In: Advances in Applied and Computational Topology, vol 70. American Mathematical Society (2012)"}],"container-title":["Lecture Notes in Computer Science","Advances in Intelligent Data Analysis XVI"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-68765-0_24","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,13]],"date-time":"2024-03-13T20:35:16Z","timestamp":1710362116000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-319-68765-0_24"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017]]},"ISBN":["9783319687643","9783319687650"],"references-count":24,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-68765-0_24","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2017]]},"assertion":[{"value":"4 October 2017","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"IDA","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Symposium on Intelligent Data Analysis","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"London","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"United Kingdom","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2017","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"26 October 2017","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"28 October 2017","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"16","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"ida2017","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.dcs.bbk.ac.uk\/ida2017\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}