{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,4,25]],"date-time":"2025-04-25T19:10:07Z","timestamp":1745608207876,"version":"3.40.4"},"publisher-location":"Singapore","reference-count":36,"publisher":"Springer Nature Singapore","isbn-type":[{"value":"9789819658145","type":"print"},{"value":"9789819658152","type":"electronic"}],"license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"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":[[2025]]},"DOI":"10.1007\/978-981-96-5815-2_14","type":"book-chapter","created":{"date-parts":[[2025,4,25]],"date-time":"2025-04-25T18:43:37Z","timestamp":1745606617000},"page":"266-288","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Joint UMAP for\u00a0Visualization of\u00a0Time-Dependent Data"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0009-0004-0259-0558","authenticated-orcid":false,"given":"Yun","family":"Zou","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0003-6239-2230","authenticated-orcid":false,"given":"Benchao","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0785-2703","authenticated-orcid":false,"given":"Ruisheng","family":"Ran","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2025,4,26]]},"reference":[{"key":"14_CR1","doi-asserted-by":"crossref","unstructured":"Aigner, W., Miksch, S., Schumann, H., Tominski, C.: Visualization of Time-Oriented Data, vol.\u00a04. Springer, London (2011)","DOI":"10.1007\/978-0-85729-079-3"},{"key":"14_CR2","doi-asserted-by":"crossref","unstructured":"Bhuiyan, M.A., Rahman, M., Rahman, M., Al\u00a0Hasan, M.: Guise: uniform sampling of graphlets for large graph analysis. In: 2012 IEEE 12th International Conference on Data Mining, pp. 91\u2013100. IEEE (2012)","DOI":"10.1109\/ICDM.2012.87"},{"key":"14_CR3","doi-asserted-by":"crossref","unstructured":"Boggust, A., Carter, B., Satyanarayan, A.: Embedding comparator: visualizing differences in global structure and local neighborhoods via small multiples. In: Proceedings of the 27th International Conference on Intelligent User Interfaces, pp. 746\u2013766 (2022)","DOI":"10.1145\/3490099.3511122"},{"issue":"18","key":"14_CR4","doi-asserted-by":"publisher","first-page":"3178","DOI":"10.1093\/bioinformatics\/bty333","volume":"34","author":"X Chen","year":"2018","unstructured":"Chen, X., Xie, D., Wang, L., Zhao, Q., You, Z.H., Liu, H.: BNPMDA: bipartite network projection for MiRNA-disease association prediction. Bioinformatics 34(18), 3178\u20133186 (2018)","journal-title":"Bioinformatics"},{"key":"14_CR5","doi-asserted-by":"crossref","unstructured":"Cox, T.F., Cox, M.A.: Multidimensional Scaling. CRC Press, Boca Raton (2000)","DOI":"10.1201\/9781420036121"},{"key":"14_CR6","unstructured":"Fodor, I.K.: A survey of dimension reduction techniques. Technical report, Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States) (2002)"},{"issue":"1","key":"14_CR7","doi-asserted-by":"publisher","first-page":"418","DOI":"10.1109\/TVCG.2019.2934433","volume":"26","author":"T Fujiwara","year":"2019","unstructured":"Fujiwara, T., Chou, J.K., Shilpika, S., Xu, P., Ren, L., Ma, K.L.: An incremental dimensionality reduction method for visualizing streaming multidimensional data. IEEE Trans. Visual Comput. Graphics 26(1), 418\u2013428 (2019)","journal-title":"IEEE Trans. Visual Comput. Graphics"},{"key":"14_CR8","doi-asserted-by":"crossref","unstructured":"Gandhi, P., Pruthi, J.: Data visualization techniques: traditional data to big data. In: Data Visualization: Trends and Challenges Toward Multidisciplinary Perception, pp. 53\u201374 (2020)","DOI":"10.1007\/978-981-15-2282-6_4"},{"issue":"2","key":"14_CR9","doi-asserted-by":"publisher","first-page":"285","DOI":"10.1111\/j.2517-6161.1991.tb01825.x","volume":"53","author":"C Goodall","year":"1991","unstructured":"Goodall, C.: Procrustes methods in the statistical analysis of shape. J. Roy. Stat. Soc.: Ser. B (Methodol.) 53(2), 285\u2013321 (1991)","journal-title":"J. Roy. Stat. Soc.: Ser. B (Methodol.)"},{"key":"14_CR10","doi-asserted-by":"crossref","unstructured":"Hartigan, J.A., Wong, M.A.: Algorithm as 136: a k-means clustering algorithm. J. Roy. Stat. Soc. Ser. C (Appl. Stat.) 28(1), 100\u2013108 (1979)","DOI":"10.2307\/2346830"},{"issue":"4","key":"14_CR11","doi-asserted-by":"publisher","first-page":"483","DOI":"10.1093\/bioinformatics\/bts729","volume":"29","author":"W Hayes","year":"2013","unstructured":"Hayes, W., Sun, K., Pr\u017eulj, N.: Graphlet-based measures are suitable for biological network comparison. Bioinformatics 29(4), 483\u2013491 (2013)","journal-title":"Bioinformatics"},{"key":"14_CR12","doi-asserted-by":"crossref","unstructured":"Hidaka, A., Kurita, T.: Consecutive dimensionality reduction by canonical correlation analysis for visualization of convolutional neural networks. In: Proceedings of the ISCIE International Symposium on Stochastic Systems Theory and Its Applications, vol.\u00a02017, pp. 160\u2013167 (2017)","DOI":"10.5687\/sss.2017.160"},{"key":"14_CR13","doi-asserted-by":"crossref","unstructured":"Hu, Y., Wu, S., Xia, S., Fu, J., Chen, W.: Motion track: visualizing variations of human motion data. In: 2010 IEEE Pacific Visualization Symposium (PacificVis), pp. 153\u2013160. IEEE (2010)","DOI":"10.1109\/PACIFICVIS.2010.5429596"},{"issue":"1","key":"14_CR14","doi-asserted-by":"publisher","first-page":"141","DOI":"10.1109\/TVCG.2015.2467553","volume":"22","author":"D J\u00e4ckle","year":"2015","unstructured":"J\u00e4ckle, D., Fischer, F., Schreck, T., Keim, D.A.: Temporal MDS plots for analysis of multivariate data. IEEE Trans. Visual Comput. Graphics 22(1), 141\u2013150 (2015)","journal-title":"IEEE Trans. Visual Comput. Graphics"},{"issue":"2065","key":"14_CR15","doi-asserted-by":"publisher","first-page":"20150202","DOI":"10.1098\/rsta.2015.0202","volume":"374","author":"IT Jolliffe","year":"2016","unstructured":"Jolliffe, I.T., Cadima, J.: Principal component analysis: a review and recent developments. Philos. Trans. Roy. Soc. A Math. Phys. Eng. Sci. 374(2065), 20150202 (2016)","journal-title":"Philos. Trans. Roy. Soc. A Math. Phys. Eng. Sci."},{"issue":"1","key":"14_CR16","doi-asserted-by":"publisher","first-page":"596","DOI":"10.1109\/JIOT.2020.3007866","volume":"8","author":"N Khan","year":"2020","unstructured":"Khan, N., Iqbal, K., Martini, M.G.: Time-aggregation-based lossless video encoding for neuromorphic vision sensor data. IEEE Internet Things J. 8(1), 596\u2013609 (2020)","journal-title":"IEEE Internet Things J."},{"issue":"11","key":"14_CR17","doi-asserted-by":"publisher","first-page":"1810","DOI":"10.1002\/asi.20891","volume":"59","author":"L Leydesdorff","year":"2008","unstructured":"Leydesdorff, L., Schank, T.: Dynamic animations of journal maps: indicators of structural changes and interdisciplinary developments. J. Am. Soc. Inform. Sci. Technol. 59(11), 1810\u20131818 (2008)","journal-title":"J. Am. Soc. Inform. Sci. Technol."},{"issue":"3","key":"14_CR18","doi-asserted-by":"publisher","first-page":"1249","DOI":"10.1109\/TVCG.2016.2640960","volume":"23","author":"S Liu","year":"2016","unstructured":"Liu, S., Maljovec, D., Wang, B., Bremer, P.T., Pascucci, V.: Visualizing high-dimensional data: advances in the past decade. IEEE Trans. Visual Comput. Graphics 23(3), 1249\u20131268 (2016)","journal-title":"IEEE Trans. Visual Comput. Graphics"},{"key":"14_CR19","unstructured":"Van\u00a0der Maaten, L., Hinton, G.: Visualizing data using t-SNE. J. Mach. Learn. Res. 9(11) (2008)"},{"issue":"6","key":"14_CR20","doi-asserted-by":"publisher","first-page":"1208","DOI":"10.1109\/TVCG.2007.70592","volume":"13","author":"Y Mao","year":"2007","unstructured":"Mao, Y., Dillon, J., Lebanon, G.: Sequential document visualization. IEEE Trans. Visual Comput. Graphics 13(6), 1208\u20131215 (2007)","journal-title":"IEEE Trans. Visual Comput. Graphics"},{"key":"14_CR21","doi-asserted-by":"crossref","unstructured":"McInnes, L., Healy, J., Melville, J.: UMAP: uniform manifold approximation and projection for dimension reduction. arXiv preprint arXiv:1802.03426 (2018)","DOI":"10.21105\/joss.00861"},{"issue":"44","key":"14_CR22","doi-asserted-by":"publisher","first-page":"423","DOI":"10.1098\/rsif.2009.0192","volume":"7","author":"T Milenkovi\u0107","year":"2010","unstructured":"Milenkovi\u0107, T., Memi\u0161evi\u0107, V., Ganesan, A.K., Pr\u017eulj, N.: Systems-level cancer gene identification from protein interaction network topology applied to melanogenesis-related functional genomics data. J. R. Soc. Interface 7(44), 423\u2013437 (2010)","journal-title":"J. R. Soc. Interface"},{"key":"14_CR23","doi-asserted-by":"crossref","unstructured":"Paulovich, F.V., Oliveira, M.C.F., Minghim, R.: The projection explorer: a flexible tool for projection-based multidimensional visualization. In: XX Brazilian Symposium on Computer Graphics and Image Processing (SIBGRAPI 2007), pp. 27\u201336. IEEE (2007)","DOI":"10.1109\/SIBGRAPI.2007.21"},{"issue":"18","key":"14_CR24","doi-asserted-by":"publisher","first-page":"3508","DOI":"10.1093\/bioinformatics\/bth436","volume":"20","author":"N Pr\u017eulj","year":"2004","unstructured":"Pr\u017eulj, N., Corneil, D.G., Jurisica, I.: Modeling interactome: scale-free or geometric? Bioinformatics 20(18), 3508\u20133515 (2004)","journal-title":"Bioinformatics"},{"key":"14_CR25","unstructured":"Rauber, P.E., Falcao, A.X., Telea, A.C., et\u00a0al.: Visualizing time-dependent data using dynamic t-SNE (2016)"},{"key":"14_CR26","doi-asserted-by":"crossref","unstructured":"Roweis, S.T., Saul, L.K.: Nonlinear dimensionality reduction by locally linear embedding. Science 290(5500), 2323\u20132326 (2000)","DOI":"10.1126\/science.290.5500.2323"},{"key":"14_CR27","unstructured":"Sorzano, C.O.S., Vargas, J., Montano, A.P.: A survey of dimensionality reduction techniques. arXiv preprint arXiv:1403.2877 (2014)"},{"issue":"7","key":"14_CR28","doi-asserted-by":"publisher","first-page":"2112","DOI":"10.3390\/s20072112","volume":"20","author":"DW Tscholl","year":"2020","unstructured":"Tscholl, D.W., R\u00f6ssler, J., Said, S., Kaserer, A., Spahn, D.R., N\u00f6thiger, C.B.: Situation awareness-oriented patient monitoring with visual patient technology: a qualitative review of the primary research. Sensors 20(7), 2112 (2020)","journal-title":"Sensors"},{"key":"14_CR29","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1186\/s40854-021-00269-7","volume":"7","author":"S Tuarob","year":"2021","unstructured":"Tuarob, S., et al.: Davis: a unified solution for data collection, analyzation, and visualization in real-time stock market prediction. Finan. Innov. 7, 1\u201332 (2021)","journal-title":"Finan. Innov."},{"issue":"1","key":"14_CR30","first-page":"7068349","volume":"2018","author":"A Voulodimos","year":"2018","unstructured":"Voulodimos, A., Doulamis, N., Doulamis, A., Protopapadakis, E.: Deep learning for computer vision: a brief review. Comput. Intell. Neurosci. 2018(1), 7068349 (2018)","journal-title":"Comput. Intell. Neurosci."},{"issue":"1","key":"14_CR31","doi-asserted-by":"publisher","first-page":"623","DOI":"10.1109\/TVCG.2021.3114765","volume":"28","author":"Y Wang","year":"2021","unstructured":"Wang, Y., Chen, L., Jo, J., Wang, Y.: Joint t-SNE for comparable projections of multiple high-dimensional datasets. IEEE Trans. Visual Comput. Graphics 28(1), 623\u2013632 (2021)","journal-title":"IEEE Trans. Visual Comput. Graphics"},{"issue":"1","key":"14_CR32","doi-asserted-by":"publisher","first-page":"489","DOI":"10.1109\/TVCG.2017.2745919","volume":"24","author":"Y Wang","year":"2017","unstructured":"Wang, Y., et al.: Revisiting stress majorization as a unified framework for interactive constrained graph visualization. IEEE Trans. Visual Comput. Graphics 24(1), 489\u2013499 (2017)","journal-title":"IEEE Trans. Visual Comput. Graphics"},{"issue":"1","key":"14_CR33","doi-asserted-by":"publisher","first-page":"566","DOI":"10.1109\/TVCG.2018.2864911","volume":"25","author":"Y Wang","year":"2018","unstructured":"Wang, Y., et al.: Structure-aware fisheye views for efficient large graph exploration. IEEE Trans. Visual Comput. Graphics 25(1), 566\u2013575 (2018)","journal-title":"IEEE Trans. Visual Comput. Graphics"},{"key":"14_CR34","doi-asserted-by":"publisher","first-page":"84","DOI":"10.1007\/s10618-012-0286-6","volume":"27","author":"KS Xu","year":"2013","unstructured":"Xu, K.S., Kliger, M., Hero, A.O.: A regularized graph layout framework for dynamic network visualization. Data Min. Knowl. Disc. 27, 84\u2013116 (2013)","journal-title":"Data Min. Knowl. Disc."},{"key":"14_CR35","doi-asserted-by":"publisher","first-page":"294","DOI":"10.1007\/s11633-007-0294-y","volume":"4","author":"H Yin","year":"2007","unstructured":"Yin, H.: Nonlinear dimensionality reduction and data visualization: a review. Int. J. Autom. Comput. 4, 294\u2013303 (2007)","journal-title":"Int. J. Autom. Comput."},{"issue":"12","key":"14_CR36","doi-asserted-by":"publisher","first-page":"5071","DOI":"10.1109\/TIP.2013.2278465","volume":"22","author":"L Zhang","year":"2013","unstructured":"Zhang, L., Han, Y., Yang, Y., Song, M., Yan, S., Tian, Q.: Discovering discriminative graphlets for aerial image categories recognition. IEEE Trans. Image Process. 22(12), 5071\u20135084 (2013)","journal-title":"IEEE Trans. Image Process."}],"container-title":["Lecture Notes in Computer Science","Computational Visual Media"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-96-5815-2_14","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,4,25]],"date-time":"2025-04-25T18:43:49Z","timestamp":1745606629000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-96-5815-2_14"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"ISBN":["9789819658145","9789819658152"],"references-count":36,"URL":"https:\/\/doi.org\/10.1007\/978-981-96-5815-2_14","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025]]},"assertion":[{"value":"26 April 2025","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"The authors have no competing interests to declare that are relevant to the content of this article.","order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Disclosure of Interests"}},{"value":"CVM","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Computational Visual Media","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Hong Kong SAR","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2025","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"19 April 2025","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"21 April 2025","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"13","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"cvm2025","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/iccvm.org\/2025\/index.htm","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}