{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,24]],"date-time":"2026-01-24T15:03:57Z","timestamp":1769267037155,"version":"3.49.0"},"reference-count":37,"publisher":"Springer Science and Business Media LLC","issue":"3","license":[{"start":{"date-parts":[[2022,10,21]],"date-time":"2022-10-21T00:00:00Z","timestamp":1666310400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2022,10,21]],"date-time":"2022-10-21T00:00:00Z","timestamp":1666310400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"name":"National Key Research and Development Program of China","award":["2020YFB0204802"],"award-info":[{"award-number":["2020YFB0204802"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["J Vis"],"published-print":{"date-parts":[[2023,6]]},"DOI":"10.1007\/s12650-022-00893-0","type":"journal-article","created":{"date-parts":[[2022,10,21]],"date-time":"2022-10-21T19:03:16Z","timestamp":1666378996000},"page":"687-703","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["MVST-SciVis: narrative visualization and analysis of compound events in scientific data"],"prefix":"10.1007","volume":"26","author":[{"given":"Xuyi","family":"Lu","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yuan","family":"Xu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Guan","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yi","family":"Chen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8283-2278","authenticated-orcid":false,"given":"Guihua","family":"Shan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2022,10,21]]},"reference":[{"issue":"1","key":"893_CR1","doi-asserted-by":"publisher","first-page":"559","DOI":"10.1109\/TVCG.2015.2467851","volume":"22","author":"B Bach","year":"2015","unstructured":"Bach B, Shi C, Heulot N, Madhyastha T, Grabowski T, Dragicevic P (2015) Time curves: folding time to visualize patterns of temporal evolution in data. IEEE Trans Vis Comput Graph 22(1):559\u2013568","journal-title":"IEEE Trans Vis Comput Graph"},{"key":"893_CR2","doi-asserted-by":"publisher","unstructured":"Bach B, Dragicevic P, Archambault D, Hurter C, Carpendale S (2014) A review of temporal data visualizations based on space-time cube operations. In: Eurographics conference on visualization. The Eurographics Association, https:\/\/doi.org\/10.2312\/eurovisstar.20141171","DOI":"10.2312\/eurovisstar.20141171"},{"key":"893_CR3","doi-asserted-by":"crossref","unstructured":"Bach B, Dragicevic P, Archambault D, Hurter C, Carpendale S (2017) A descriptive framework for temporal data visualizations based on generalized space-time cubes. In: Computer graphics forum, vol\u00a036, Wiley Online Library,pp 36\u201361","DOI":"10.1111\/cgf.12804"},{"issue":"12","key":"893_CR4","doi-asserted-by":"publisher","first-page":"2683","DOI":"10.1109\/TVCG.2013.133","volume":"19","author":"A Biswas","year":"2013","unstructured":"Biswas A, Dutta S, Shen H-W, Woodring J (2013) An information-aware framework for exploring multivariate data sets. IEEE Trans Vis Comput Graph 19(12):2683\u20132692. https:\/\/doi.org\/10.1109\/TVCG.2013.133","journal-title":"IEEE Trans Vis Comput Graph"},{"issue":"8","key":"893_CR5","doi-asserted-by":"publisher","first-page":"2696","DOI":"10.1109\/TVCG.2020.2986996","volume":"26","author":"A Chatzimparmpas","year":"2020","unstructured":"Chatzimparmpas A, Martins RM, Kerren A (2020) t-visne: Interactive assessment and interpretation of t-sne projections. IEEE Trans Vis Comput Graph 26(8):2696\u20132714. https:\/\/doi.org\/10.1109\/TVCG.2020.2986996","journal-title":"IEEE Trans Vis Comput Graph"},{"issue":"2","key":"893_CR6","doi-asserted-by":"publisher","first-page":"251","DOI":"10.1177\/1473871618806555","volume":"18","author":"Z Cui","year":"2019","unstructured":"Cui Z, Badam SK, Yal\u00e7in MA, Elmqvist N (2019) Datasite: proactive visual data exploration with computation of insight-based recommendations. Inf Vis 18(2):251\u2013267","journal-title":"Inf Vis"},{"key":"893_CR7","doi-asserted-by":"publisher","first-page":"1937","DOI":"10.14778\/3137765.3137813","volume":"10","author":"\u00c7 Demiralp","year":"2017","unstructured":"Demiralp \u00c7, Parthasarathy S, Haas PJ, Pedapati T (2017) Foresight: recommending visual insights. Proc VLDB Endow 10:1937\u20131940","journal-title":"Proc VLDB Endow"},{"issue":"1","key":"893_CR8","doi-asserted-by":"publisher","first-page":"164","DOI":"10.1016\/j.engappai.2010.09.007","volume":"24","author":"T-C Fu","year":"2011","unstructured":"Fu T-C (2011) A review on time series data mining. Eng Appl Artif Intell 24(1):164\u2013181","journal-title":"Eng Appl Artif Intell"},{"issue":"1","key":"893_CR9","doi-asserted-by":"publisher","first-page":"98","DOI":"10.1016\/j.visinf.2018.04.010","volume":"2","author":"T Fujiwara","year":"2018","unstructured":"Fujiwara T, Li JK, Mubarak M, Ross C, Carothers CD, Ross RB, Ma K-L (2018) A visual analytics system for optimizing the performance of large-scale networks in supercomputing systems. Vis Inform 2(1):98\u2013110","journal-title":"Vis Inform"},{"issue":"2","key":"893_CR10","doi-asserted-by":"publisher","first-page":"1601","DOI":"10.1109\/TVCG.2020.3028889","volume":"27","author":"T Fujiwara","year":"2020","unstructured":"Fujiwara T, Sakamoto N, Nonaka J, Yamamoto K, Ma K-L et al (2020) A visual analytics framework for reviewing multivariate time-series data with dimensionality reduction. IEEE Trans Vis Comput Graph 27(2):1601\u20131611","journal-title":"IEEE Trans Vis Comput Graph"},{"key":"893_CR11","doi-asserted-by":"crossref","unstructured":"Fujiwara T, Chou J-K, McCullough A M, Ranganath C, Ma K-L (2017) A visual analytics system for brain functional connectivity comparison across individuals, groups, and time points. In: 2017 IEEE Pacific visualization symposium (PacificVis), IEEE, pp 250\u2013259","DOI":"10.1109\/PACIFICVIS.2017.8031601"},{"key":"893_CR12","doi-asserted-by":"publisher","first-page":"1291","DOI":"10.1109\/TVCG.2006.175","volume":"12","author":"M Glatter","year":"2006","unstructured":"Glatter M, Mollenhour C, Huang J, Gao J (2006) Scalable data servers for large multivariate volume visualization. IEEE Trans Vis Comput Graph 12:1291\u20138. https:\/\/doi.org\/10.1109\/TVCG.2006.175","journal-title":"IEEE Trans Vis Comput Graph"},{"issue":"1","key":"893_CR13","doi-asserted-by":"publisher","first-page":"113","DOI":"10.1002\/wcc.252","volume":"5","author":"M Leonard","year":"2014","unstructured":"Leonard M, Westra S, Phatak A, Lambert M, van den Hurk B, McInnes K, Risbey J, Schuster S, Jakob D, Stafford-Smith M (2014) A compound event framework for understanding extreme impacts. Wiley Interdiscip Rev Clim Chang 5(1):113\u2013128","journal-title":"Wiley Interdiscip Rev Clim Chang"},{"issue":"1","key":"893_CR14","doi-asserted-by":"publisher","first-page":"955","DOI":"10.1109\/TVCG.2015.2467431","volume":"22","author":"X Liu","year":"2016","unstructured":"Liu X, Shen H-W (2016) Association analysis for visual exploration of multivariate scientific data sets. IEEE Trans Vis Comput Graph 22(1):955\u2013964. https:\/\/doi.org\/10.1109\/TVCG.2015.2467431","journal-title":"IEEE Trans Vis Comput Graph"},{"issue":"12","key":"893_CR15","doi-asserted-by":"publisher","first-page":"2436","DOI":"10.1109\/TVCG.2013.196","volume":"19","author":"S Liu","year":"2013","unstructured":"Liu S, Wu Y, Wei E, Liu M, Liu Y (2013) StoryFlow: tracking the evolution of stories. IEEE Trans Vis Comput Graph 19(12):2436\u20132445. https:\/\/doi.org\/10.1109\/TVCG.2013.196","journal-title":"IEEE Trans Vis Comput Graph"},{"key":"893_CR16","unstructured":"Lundberg S M, Erion GG, Lee S-I (2018) Consistent individualized feature attribution for tree ensembles. Preprint arXiv:1802.03888"},{"key":"893_CR17","unstructured":"Lundberg S M, Lee S-I (2017) A unified approach to interpreting model predictions. Advances in neural information processing systems, 30"},{"key":"893_CR18","doi-asserted-by":"publisher","first-page":"12","DOI":"10.1186\/s42492-021-00093-x","volume":"4","author":"G Reichert","year":"2021","unstructured":"Reichert G, Pieras M, Marroquim R, Vilanova A (2021) Stabilization and visual analysis of video-recorded sailing sessions. Vis Comput Ind Biomed Art 4:12. https:\/\/doi.org\/10.1186\/s42492-021-00093-x","journal-title":"Vis Comput Ind Biomed Art"},{"key":"893_CR19","doi-asserted-by":"publisher","unstructured":"Ribeiro MT, Singh S, Guestrin C (2016) \u201cWhy should I trust you?\u201d: Explaining the predictions of any classifier. InL Proceedings of the 22nd ACM SIGKDD international conference on knowledge discovery and data mining, KDD, vol 16, Association for Computing Machinery, New York, NY, USA, pp 1135\u20131144. https:\/\/doi.org\/10.1145\/2939672.2939778","DOI":"10.1145\/2939672.2939778"},{"issue":"3","key":"893_CR20","doi-asserted-by":"publisher","first-page":"555","DOI":"10.1007\/s10584-018-2317-9","volume":"151","author":"TG Shepherd","year":"2018","unstructured":"Shepherd TG, Boyd E, Calel RA, Chapman SC, Dessai S, Dima-West IM, Fowler HJ, James R, Maraun D, Martius O et al (2018) Storylines: an alternative approach to representing uncertainty in physical aspects of climate change. Clim Chang 151(3):555\u2013571","journal-title":"Clim Chang"},{"issue":"6","key":"893_CR21","doi-asserted-by":"publisher","first-page":"1918","DOI":"10.1109\/TVCG.2018.2816203","volume":"24","author":"Y Shi","year":"2018","unstructured":"Shi Y, Bryan C, Bhamidipati S, Zhao Y, Zhang Y, Ma K-L (2018) Meetingvis: Visual narratives to assist in recalling meeting context and content. IEEE Trans Vis Comput Graph 24(6):1918\u20131929","journal-title":"IEEE Trans Vis Comput Graph"},{"issue":"2","key":"893_CR22","doi-asserted-by":"publisher","first-page":"e2020EF001783","DOI":"10.1029\/2020EF001783","volume":"9","author":"J Sillmann","year":"2021","unstructured":"Sillmann J, Shepherd TG, van den Hurk B, Hazeleger W, Martius O, Slingo J, Zscheischler J (2021) Event-based storylines to address climate risk. Earth\u2019s Future 9(2):e2020EF001783","journal-title":"Earth\u2019s Future"},{"issue":"1","key":"893_CR23","doi-asserted-by":"publisher","first-page":"672","DOI":"10.1109\/TVCG.2018.2865145","volume":"25","author":"A Srinivasan","year":"2018","unstructured":"Srinivasan A, Drucker SM, Endert A, Stasko J (2018) Augmenting visualizations with interactive data facts to facilitate interpretation and communication. IEEE Trans Vis Comput Graph 25(1):672\u2013681","journal-title":"IEEE Trans Vis Comput Graph"},{"issue":"3","key":"893_CR24","doi-asserted-by":"publisher","first-page":"647","DOI":"10.1007\/s10115-013-0679-x","volume":"41","author":"E \u0160trumbelj","year":"2014","unstructured":"\u0160trumbelj E, Kononenko I (2014) Explaining prediction models and individual predictions with feature contributions. Knowl Inf Syst 41(3):647\u2013665","journal-title":"Knowl Inf Syst"},{"issue":"12","key":"893_CR25","doi-asserted-by":"publisher","first-page":"2679","DOI":"10.1109\/TVCG.2012.212","volume":"18","author":"Y Tanahashi","year":"2012","unstructured":"Tanahashi Y, Ma K-L (2012) Design considerations for optimizing storyline visualizations. IEEE Trans Vis Comput Graph 18(12):2679\u20132688","journal-title":"IEEE Trans Vis Comput Graph"},{"issue":"1","key":"893_CR26","doi-asserted-by":"publisher","first-page":"769","DOI":"10.1109\/TVCG.2018.2864899","volume":"25","author":"T Tang","year":"2019","unstructured":"Tang T, Rubab S, Lai J, Cui W, Yu L, Wu Y (2019) iStoryline: effective convergence to hand-drawn storylines. IEEE Trans Vis Comput Graph 25(1):769\u2013778. https:\/\/doi.org\/10.1109\/TVCG.2018.2864899","journal-title":"IEEE Trans Vis Comput Graph"},{"issue":"1","key":"893_CR27","doi-asserted-by":"publisher","first-page":"846","DOI":"10.1109\/TVCG.2021.3114781","volume":"28","author":"T Tang","year":"2021","unstructured":"Tang T, Wu Y, Wu Y, Yu L, Li Y (2021) Videomoderator: a risk-aware framework for multimodal video moderation in e-commerce. IEEE Trans Vis Comput Graph 28(1):846\u2013856","journal-title":"IEEE Trans Vis Comput Graph"},{"key":"893_CR28","doi-asserted-by":"publisher","unstructured":"Tang B, Han S, Yiu ML, Ding R, Zhang D (2017) Extracting top-k insights from multi-dimensional data. InL Proceedings of the 2017 ACM international conference on management of data, SIGMOD, vol 17, Association for Computing Machinery, New York, NY, USA, pp 1509\u20131524. https:\/\/doi.org\/10.1145\/3035918.3035922","DOI":"10.1145\/3035918.3035922"},{"issue":"1","key":"893_CR29","doi-asserted-by":"publisher","first-page":"1236","DOI":"10.1109\/TVCG.2018.2864808","volume":"25","author":"J Tao","year":"2019","unstructured":"Tao J, Imre M, Wang C, Chawla NV, Guo H, Sever G, Kim SH (2019) Exploring time-varying multivariate volume data using matrix of isosurface similarity maps. IEEE Trans Vis Comput Graph 25(1):1236\u20131245. https:\/\/doi.org\/10.1109\/TVCG.2018.2864808","journal-title":"IEEE Trans Vis Comput Graph"},{"issue":"8","key":"893_CR30","doi-asserted-by":"publisher","first-page":"725","DOI":"10.1038\/nclimate2657","volume":"5","author":"KE Trenberth","year":"2015","unstructured":"Trenberth KE, Fasullo JT, Shepherd TG (2015) Attribution of climate extreme events. Nat Clim Chang 5(8):725\u2013730","journal-title":"Nat Clim Chang"},{"issue":"1","key":"893_CR31","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1109\/TVCG.2015.2468078","volume":"22","author":"S van den Elzen","year":"2015","unstructured":"van den Elzen S, Holten D, Blaas J, van Wijk JJ (2015) Reducing snapshots to points: a visual analytics approach to dynamic network exploration. IEEE Trans Vis Comput Graph 22(1):1\u201310","journal-title":"IEEE Trans Vis Comput Graph"},{"key":"893_CR32","unstructured":"Van der Maaten L, Hinton G (2008) Visualizing data using t-sne. J Mach Learn Res 9(11)"},{"issue":"1","key":"893_CR33","first-page":"1","volume":"166","author":"GJ van Oldenborgh","year":"2021","unstructured":"van Oldenborgh GJ, van der Wiel K, Kew S, Philip S, Otto F, Vautard R, King A, Lott F, Arrighi J, Singh R et al (2021) Pathways and pitfalls in extreme event attribution. Clim Chang 166(1):1\u201327","journal-title":"Clim Chang"},{"issue":"1","key":"893_CR34","doi-asserted-by":"publisher","first-page":"11","DOI":"10.1109\/TVCG.2015.2468111","volume":"22","author":"T Von Landesberger","year":"2015","unstructured":"Von Landesberger T, Brodkorb F, Roskosch P, Andrienko N, Andrienko G, Kerren A (2015) Mobilitygraphs: visual analysis of mass mobility dynamics via spatio-temporal graphs and clustering. IEEE Trans Vis Comput Graph 22(1):11\u201320","journal-title":"IEEE Trans Vis Comput Graph"},{"key":"893_CR35","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2021.3107297","author":"Y Zhao","year":"2021","unstructured":"Zhao Y, Shi J, Liu J, Zhao J, Zhou F, Zhang W, Chen K, Zhao X, Zhu C, Chen W (2021) Evaluating effects of background stories on graph perception. IEEE Trans Vis Comput Graph. https:\/\/doi.org\/10.1109\/TVCG.2021.3107297","journal-title":"IEEE Trans Vis Comput Graph"},{"key":"893_CR36","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2022.3209469","author":"Y Zhao","year":"2022","unstructured":"Zhao Y, Ge L, Xie H, Bai G, Zhang Z, Wei Q, Lin Y, Liu Y, Zhou F (2022) Astf: visual abstractions of time-varying patterns in radio signals. IEEE Trans Vis Comput Graph. https:\/\/doi.org\/10.1109\/TVCG.2022.3209469","journal-title":"IEEE Trans Vis Comput Graph"},{"key":"893_CR37","doi-asserted-by":"publisher","first-page":"469","DOI":"10.1038\/s41558-018-0156-3","volume":"8","author":"J Zscheischler","year":"2018","unstructured":"Zscheischler J, Westra S, Hurk B, Seneviratne S, Ward P, Pitman A, AghaKouchak A, Bresch D, Leonard M, Wahl T, Zhang X (2018) Future climate risk from compound events. Nat Clim Chang 8:469\u2013477","journal-title":"Nat Clim Chang"}],"container-title":["Journal of Visualization"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s12650-022-00893-0.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s12650-022-00893-0\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s12650-022-00893-0.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,5,8]],"date-time":"2023-05-08T07:35:26Z","timestamp":1683531326000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s12650-022-00893-0"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,10,21]]},"references-count":37,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2023,6]]}},"alternative-id":["893"],"URL":"https:\/\/doi.org\/10.1007\/s12650-022-00893-0","relation":{},"ISSN":["1343-8875","1875-8975"],"issn-type":[{"value":"1343-8875","type":"print"},{"value":"1875-8975","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,10,21]]},"assertion":[{"value":"9 August 2022","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"26 September 2022","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"21 October 2022","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}