{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T19:27:05Z","timestamp":1740166025542,"version":"3.37.3"},"reference-count":13,"publisher":"Springer Science and Business Media LLC","issue":"1-2","license":[{"start":{"date-parts":[[2015,11,17]],"date-time":"2015-11-17T00:00:00Z","timestamp":1447718400000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"funder":[{"DOI":"10.13039\/501100001807","name":"Funda\u00e7\u00e3o de Amparo \u00e0 Pesquisa do Estado de S\u00e3o Paulo","doi-asserted-by":"publisher","award":["2013\/16480-1"],"award-info":[{"award-number":["2013\/16480-1"]}],"id":[{"id":"10.13039\/501100001807","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001807","name":"Funda\u00e7\u00e3o de Amparo \u00e0 Pesquisa do Estado de S\u00e3o Paulo","doi-asserted-by":"publisher","award":["2014\/13323-5, 2011\/51305-0"],"award-info":[{"award-number":["2014\/13323-5, 2011\/51305-0"]}],"id":[{"id":"10.13039\/501100001807","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003593","name":"Conselho Nacional de Desenvolvimento Cient\u00edfico e Tecnol\u00f3gico","doi-asserted-by":"publisher","award":["303280\/2011-5, 303051\/2014-0, 441583\/2014-8"],"award-info":[{"award-number":["303280\/2011-5, 303051\/2014-0, 441583\/2014-8"]}],"id":[{"id":"10.13039\/501100003593","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Prog Artif Intell"],"published-print":{"date-parts":[[2015,12]]},"DOI":"10.1007\/s13748-015-0063-z","type":"journal-article","created":{"date-parts":[[2015,11,17]],"date-time":"2015-11-17T08:21:47Z","timestamp":1447748507000},"page":"1-10","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Unsupervised change detection in data streams: an application in music analysis"],"prefix":"10.1007","volume":"4","author":[{"given":"Rosane M. M.","family":"Vallim","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Rodrigo F.","family":"de Mello","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2015,11,17]]},"reference":[{"key":"63_CR1","doi-asserted-by":"crossref","unstructured":"Albertini, M.K., Mello, R.F.: A Self-Organizing Neural Network to Approach Novelty Detection. In: Intelligent Systems for Automated Learning and Adaptation: Emerging Trends and Applications, IGI Global, pp. 49\u201371 (2010)","DOI":"10.4018\/978-1-60566-798-0.ch003"},{"key":"63_CR2","doi-asserted-by":"crossref","unstructured":"Bifet, A., Gavald\u00e0, R.: Learning from Time-changing Data with Adaptive Windowing. In: SIAM International Conference on Data Mining, Minneapolis, Minnesota, USA, pp. 443\u2013448 (2007)","DOI":"10.1137\/1.9781611972771.42"},{"key":"63_CR3","first-page":"1425","volume":"11","author":"G Carlsson","year":"2010","unstructured":"Carlsson, G., Memoli, F.: Characterization, stability and convergence of hierarchical clustering methods. J. Mach. Learn. Res. 11, 1425\u20131470 (2010)","journal-title":"J. Mach. Learn. Res."},{"key":"63_CR4","unstructured":"Ceccherini, G., Gobron, N., Migliavacca, M.: European vegetation dynamics from remote sensing: phenological timing and phenoregion mapping. IEEE Trans. Geosci. Remote Sens (2014)"},{"key":"63_CR5","doi-asserted-by":"crossref","unstructured":"Gama, J., Rodrigues, P.P.: Data stream processing. In: Learning from Data Streams: Processing Techniques in Sensor Networks, pp. 25\u201338. Springer (2007)","DOI":"10.1007\/3-540-73679-4_3"},{"issue":"8\u20139","key":"63_CR6","doi-asserted-by":"crossref","first-page":"1041","DOI":"10.1016\/S0893-6080(02)00078-3","volume":"15","author":"S Marsland","year":"2002","unstructured":"Marsland, S., Shapiro, J., Nehmzow, U.: A self-organising network that grows when required. Neural Netw. 15(8\u20139), 1041\u20131058 (2002)","journal-title":"Neural Netw."},{"key":"63_CR7","volume-title":"Machine Learning","author":"TM Mitchell","year":"1997","unstructured":"Mitchell, T.M.: Machine Learning, 1st edn. McGraw-Hill Inc, New York (1997)","edition":"1"},{"key":"63_CR8","doi-asserted-by":"crossref","first-page":"100","DOI":"10.1093\/biomet\/41.1-2.100","volume":"41","author":"ES Page","year":"1954","unstructured":"Page, E.S.: Continuous inspection schemes. Biometrika 41, 100\u2013115 (1954)","journal-title":"Biometrika"},{"issue":"2","key":"63_CR9","doi-asserted-by":"crossref","first-page":"118","DOI":"10.1109\/MSP.2013.2271648","volume":"31","author":"J Salamon","year":"2014","unstructured":"Salamon, J., G\u00f3mez, E., Ellis, D.P.W., Richard, G.: Melody extraction from polyphonic music signals: approaches, applications, and challenges. IEEE Signal Process. Mag. 31(2), 118\u2013134 (2014)","journal-title":"IEEE Signal Process. Mag."},{"issue":"093","key":"63_CR10","first-page":"017","volume":"11","author":"J Serr\u00e0","year":"2009","unstructured":"Serr\u00e0, J., Serra, X., Andrzejak, R.G.: Cross recurrence quantification for cover song identification. New J. Phys. 11(093), 017 (2009). doi: 10.1088\/1367-2630\/11\/9\/093017","journal-title":"New J. Phys."},{"key":"63_CR11","unstructured":"The Mutopia Project Rondo alla turca. http:\/\/www.mutopiaproject.org\/ftp\/MozartWA\/KV331\/KV331_3_RondoAllaTurca\/KV331_3_RondoAllaTurca-a4 (2014)"},{"key":"63_CR12","doi-asserted-by":"crossref","first-page":"77","DOI":"10.1016\/0167-2789(92)90102-S","volume":"58","author":"J Theiler","year":"1992","unstructured":"Theiler, J., Eubank, S., Longtin, A., Galdrikian, B., Doynefarmer, J.: Testing for nonlinearity in time series: the method of surrogate data. Physica D: Nonlinear Phenom. 58, 77\u201394 (1992)","journal-title":"Physica D: Nonlinear Phenom."},{"issue":"16","key":"63_CR13","doi-asserted-by":"crossref","first-page":"7350","DOI":"10.1016\/j.eswa.2014.06.031","volume":"41","author":"RMM Vallim","year":"2014","unstructured":"Vallim, R.M.M., Mello, R.F.: Proposal of a new stability concept to detect changes in unsupervised data streams. Expert Syst. Appl. 41(16), 7350\u20137360 (2014)","journal-title":"Expert Syst. Appl."}],"container-title":["Progress in Artificial Intelligence"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s13748-015-0063-z.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s13748-015-0063-z\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s13748-015-0063-z","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,6,2]],"date-time":"2019-06-02T12:50:50Z","timestamp":1559479850000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s13748-015-0063-z"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015,11,17]]},"references-count":13,"journal-issue":{"issue":"1-2","published-print":{"date-parts":[[2015,12]]}},"alternative-id":["63"],"URL":"https:\/\/doi.org\/10.1007\/s13748-015-0063-z","relation":{},"ISSN":["2192-6352","2192-6360"],"issn-type":[{"type":"print","value":"2192-6352"},{"type":"electronic","value":"2192-6360"}],"subject":[],"published":{"date-parts":[[2015,11,17]]}}}