{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T03:53:59Z","timestamp":1743047639702,"version":"3.40.3"},"publisher-location":"Cham","reference-count":17,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031585555"},{"type":"electronic","value":"9783031585531"}],"license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024]]},"DOI":"10.1007\/978-3-031-58553-1_8","type":"book-chapter","created":{"date-parts":[[2024,4,15]],"date-time":"2024-04-15T20:22:45Z","timestamp":1713212565000},"page":"95-106","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["S+t-SNE - Bringing Dimensionality Reduction to\u00a0Data Streams"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0546-0124","authenticated-orcid":false,"given":"Pedro","family":"C. Vieira","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1346-216X","authenticated-orcid":false,"given":"Jo\u00e3o P.","family":"Montrezol","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0009-0006-3206-2910","authenticated-orcid":false,"given":"Jo\u00e3o","family":"T. Vieira","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3357-1195","authenticated-orcid":false,"given":"Jo\u00e3o","family":"Gama","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2024,4,16]]},"reference":[{"issue":"86","key":"8_CR1","first-page":"2579","volume":"9","author":"L Van der Maaten","year":"2008","unstructured":"Van der Maaten, L., Hinton, G.: Visualizing data using t-SNE. J. Mach. Learn. Res. 9(86), 2579\u20132605 (2008)","journal-title":"J. Mach. Learn. Res."},{"issue":"10","key":"8_CR2","first-page":"9523","volume":"34","author":"S Agrahari","year":"2022","unstructured":"Agrahari, S., Singh, A.K.: Concept drift detection in data stream mining\u202f: a literature review. J. King Saud Univ. Comput. Inf. Sci. 34(10), 9523\u20139540 (2022)","journal-title":"J. King Saud Univ. Comput. Inf. Sci."},{"key":"8_CR3","doi-asserted-by":"crossref","unstructured":"Alsakran, J., Chen, Y., Zhao, Y., Yang, J., Luo, D.: StreamIT: dynamic visualization and interactive exploration of text streams. In: 2011 IEEE Pacific Visualization Symposium, pp. 131\u2013138. IEEE (2011)","DOI":"10.1109\/PACIFICVIS.2011.5742382"},{"key":"8_CR4","doi-asserted-by":"crossref","unstructured":"Basalaj, W.: Incremental multidimensional scaling method for database visualization. In: Visual Data Exploration and Analysis VI, vol.\u00a03643, pp. 149\u2013158. SPIE (1999)","DOI":"10.1117\/12.342830"},{"key":"8_CR5","first-page":"1","volume":"16","author":"Y Bengio","year":"2003","unstructured":"Bengio, Y., Paiement, J., Vincent, P., Delalleau, O., Roux, N., Ouimet, M.: Out-of-sample extensions for LLE, ISOMAP, MDS, eigenmaps, and spectral clustering. Adv. Neural. Inf. Process. Syst. 16, 1\u20138 (2003)","journal-title":"Adv. Neural. Inf. Process. Syst."},{"key":"8_CR6","doi-asserted-by":"crossref","unstructured":"Jenkins, O.C., Matari\u0107, M.J.: A spatio-temporal extension to Isomap nonlinear dimension reduction. In: Proceedings of the Twenty-first International Conference on Machine Learning, p.\u00a056 (2004)","DOI":"10.1145\/1015330.1015357"},{"issue":"12","key":"8_CR7","doi-asserted-by":"publisher","first-page":"2563","DOI":"10.1109\/TVCG.2011.220","volume":"17","author":"P Joia","year":"2011","unstructured":"Joia, P., Coimbra, D., Cuminato, J.A., Paulovich, F.V., Nonato, L.G.: Local affine multidimensional projection. IEEE Trans. Visual Comput. Graph. 17(12), 2563\u20132571 (2011)","journal-title":"IEEE Trans. Visual Comput. Graph."},{"issue":"10","key":"8_CR8","doi-asserted-by":"publisher","first-page":"1764","DOI":"10.1016\/j.patcog.2005.04.006","volume":"38","author":"O Kouropteva","year":"2005","unstructured":"Kouropteva, O., Okun, O., Pietik\u00e4inen, M.: Incremental locally linear embedding. Pattern Recogn. 38(10), 1764\u20131767 (2005)","journal-title":"Pattern Recogn."},{"issue":"3","key":"8_CR9","doi-asserted-by":"publisher","first-page":"377","DOI":"10.1109\/TPAMI.2006.56","volume":"28","author":"MH Law","year":"2006","unstructured":"Law, M.H., Jain, A.K.: Incremental nonlinear dimensionality reduction by manifold learning. IEEE Trans. Pattern Anal. Mach. Intell. 28(3), 377\u2013391 (2006)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"8_CR10","doi-asserted-by":"crossref","unstructured":"Law, M.H., Zhang, N., Jain, A.K.: Nonlinear manifold learning for data stream. In: Proceedings of the 2004 SIAM International Conference on Data Mining, pp. 33\u201344. SIAM (2004)","DOI":"10.1137\/1.9781611972740.4"},{"key":"8_CR11","unstructured":"Maneewongvatana, S., Mount, D.M.: Analysis of approximate nearest neighbor searching with clustered point sets. CoRR cs.CG\/9901013 (1999)"},{"key":"8_CR12","doi-asserted-by":"crossref","unstructured":"McInnes, L., Healy, J., Melville, J.: Umap: Uniform manifold approximation and projection for dimension reduction (2018)","DOI":"10.21105\/joss.00861"},{"issue":"3","key":"8_CR13","doi-asserted-by":"publisher","first-page":"564","DOI":"10.1109\/TVCG.2007.70443","volume":"14","author":"FV Paulovich","year":"2008","unstructured":"Paulovich, F.V., Nonato, L.G., Minghim, R., Levkowitz, H.: Least square projection: a fast high-precision multidimensional projection technique and its application to document mapping. IEEE Trans. Visual Comput. Graph. 14(3), 564\u2013575 (2008)","journal-title":"IEEE Trans. Visual Comput. Graph."},{"key":"8_CR14","doi-asserted-by":"crossref","unstructured":"Paulovich, F.V., Eler, D.M., Poco, J., Botha, C.P., Minghim, R., Nonato, L.G.: Piece wise Laplacian-based projection for interactive data exploration and organization. In: Computer Graphics Forum, vol.\u00a030, pp. 1091\u20131100. Wiley Online Library (2011)","DOI":"10.1111\/j.1467-8659.2011.01958.x"},{"key":"8_CR15","doi-asserted-by":"crossref","unstructured":"Poli\u010dar, P.G., Stra\u017ear, M., Zupan, B.: openTSNE: a modular python library for t-SNE dimensionality reduction and embedding, August 2019","DOI":"10.1101\/731877"},{"key":"8_CR16","unstructured":"Rauber, P.E., Falcao, A.X., Telea, A.C., et\u00a0al.: Visualizing time-dependent data using dynamic t-SNE (2016)"},{"key":"8_CR17","unstructured":"Schuon, S., Durkovi\u0107, M., Diepold, K., Scheuerle, J., Markward, S.: Truly incremental locally linear embedding. In: CoTeSys 1st International Workshop on Cognition for Technical Systems (2008)"}],"container-title":["Lecture Notes in Computer Science","Advances in Intelligent Data Analysis XXII"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-58553-1_8","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,4,18]],"date-time":"2024-04-18T23:02:43Z","timestamp":1713481363000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-58553-1_8"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"ISBN":["9783031585555","9783031585531"],"references-count":17,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-58553-1_8","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2024]]},"assertion":[{"value":"16 April 2024","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":"Stockholm","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Sweden","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2024","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"24 April 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"26 April 2024","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"22","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"ida2024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/ida2024.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}