{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T15:27:15Z","timestamp":1743089235295,"version":"3.40.3"},"publisher-location":"Cham","reference-count":16,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031820205"},{"type":"electronic","value":"9783031820212"}],"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\/978-3-031-82021-2_27","type":"book-chapter","created":{"date-parts":[[2025,3,1]],"date-time":"2025-03-01T09:45:33Z","timestamp":1740822333000},"page":"374-385","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Automated Data Exploration and\u00a0Analysis"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0009-0005-7333-4727","authenticated-orcid":false,"given":"Tong","family":"Wu","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7047-8726","authenticated-orcid":false,"given":"Song","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0009-1206-8559","authenticated-orcid":false,"given":"Xin","family":"Peng","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2025,3,1]]},"reference":[{"issue":"2","key":"27_CR1","doi-asserted-by":"publisher","first-page":"251","DOI":"10.1177\/1473871618806555","volume":"18","author":"Z Cui","year":"2019","unstructured":"Cui, Z., Badam, S.K., Yal\u00e7in, M.A., Elmqvist, N.: Datasite: proactive visual data exploration with computation of insight-based recommendations. Inf. Vis. 18(2), 251\u2013267 (2019)","journal-title":"Inf. Vis."},{"issue":"5","key":"27_CR2","doi-asserted-by":"publisher","first-page":"33","DOI":"10.1109\/MCG.2019.2924636","volume":"39","author":"V Dibia","year":"2019","unstructured":"Dibia, V., Demiralp, \u00c3.: Data2vis: automatic generation of data visualizations using sequence-to-sequence recurrent neural networks. IEEE Comput. Graph. Appl. 39(5), 33\u201346 (2019). https:\/\/doi.org\/10.1109\/MCG.2019.2924636","journal-title":"IEEE Comput. Graph. Appl."},{"issue":"1","key":"27_CR3","doi-asserted-by":"publisher","first-page":"197","DOI":"10.1109\/TVCG.2023.3327367","volume":"30","author":"W Epperson","year":"2024","unstructured":"Epperson, W., Gorantla, V., Moritz, D., Perer, A.: Dead or alive: continuous data profiling for interactive data science. IEEE Trans. Visual Comput. Graph. 30(1), 197\u2013207 (2024). https:\/\/doi.org\/10.1109\/TVCG.2023.3327367","journal-title":"IEEE Trans. Visual Comput. Graph."},{"key":"27_CR4","doi-asserted-by":"publisher","unstructured":"Giovannangeli, L., Bourqui, R., Giot, R., Auber, D.: Toward automatic comparison of visualization techniques: application to graph visualization. Vis. Inform. 4(2), 86\u201398 (2020). https:\/\/doi.org\/10.1016\/j.visinf.2020.04.002, https:\/\/www.sciencedirect.com\/science\/article\/pii\/S2468502X20300140, pacificVis 2020 Workshop on Visualization Meets AI","DOI":"10.1016\/j.visinf.2020.04.002"},{"key":"27_CR5","doi-asserted-by":"publisher","unstructured":"Golfarelli, M., Rizzi, S.: A model-driven approach to automate data visualization in big data analytics. Inf. Visual. 19(1), 24\u201347 (2020). https:\/\/doi.org\/10.1177\/1473871619858933","DOI":"10.1177\/1473871619858933"},{"key":"27_CR6","unstructured":"Harris, C., et al.: Insight-centric visualization recommendation. arXiv preprint arXiv:2103.11297 (2021)"},{"key":"27_CR7","doi-asserted-by":"publisher","unstructured":"Hu, K., Bakker, M.A., Li, S., Kraska, T., Hidalgo, C.: VizML: a machine learning approach to visualization recommendation. In: Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems. CHI \u201919, pp. 1\u201312. Association for Computing Machinery, New York, NY, USA (2019). https:\/\/doi.org\/10.1145\/3290605.3300358","DOI":"10.1145\/3290605.3300358"},{"issue":"1","key":"27_CR8","doi-asserted-by":"publisher","first-page":"617","DOI":"10.1109\/TVCG.2023.3327181","volume":"30","author":"M Hull","year":"2024","unstructured":"Hull, M., et al.: VisGrader: automatic grading of D3 visualizations. IEEE Trans. Visual Comput. Graph. 30(1), 617\u2013627 (2024). https:\/\/doi.org\/10.1109\/TVCG.2023.3327181","journal-title":"IEEE Trans. Visual Comput. Graph."},{"key":"27_CR9","doi-asserted-by":"crossref","unstructured":"Karer, B., Scheler, I., Hagen, H., Leitte, H.: Conceptgraph: a formal model for interpretation and reasoning during visual analysis. In: Computer Graphics Forum, vol.\u00a039, pp. 5\u201318. Wiley Online Library (2020)","DOI":"10.1111\/cgf.13899"},{"issue":"1","key":"27_CR10","doi-asserted-by":"publisher","first-page":"86","DOI":"10.1109\/TVCG.2021.3114828","volume":"28","author":"S Khan","year":"2022","unstructured":"Khan, S., et al.: Propagating visual designs to numerous plots and dashboards. IEEE Trans. Visual Comput. Graph. 28(1), 86\u201395 (2022). https:\/\/doi.org\/10.1109\/TVCG.2021.3114828","journal-title":"IEEE Trans. Visual Comput. Graph."},{"key":"27_CR11","doi-asserted-by":"publisher","unstructured":"Liu, H., North, C.: Case study comparison of computational notebook platforms for interactive visual analytics. In: 2022 IEEE Visualization in Data Science (VDS), pp.\u00a01\u20135 (2022). https:\/\/doi.org\/10.1109\/VDS57266.2022.00005","DOI":"10.1109\/VDS57266.2022.00005"},{"key":"27_CR12","doi-asserted-by":"crossref","unstructured":"McAuley, J., Goel, R., Matthews, T.: Explorobot: Rapid Exploration with Chart Automation, pp. 225\u2013232 (2019)","DOI":"10.5220\/0007345202250232"},{"issue":"3","key":"27_CR13","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/3538703","volume":"16","author":"X Qian","year":"2022","unstructured":"Qian, X., et al.: Personalized visualization recommendation. ACM Trans. Web (TWEB) 16(3), 1\u201347 (2022)","journal-title":"ACM Trans. Web (TWEB)"},{"key":"27_CR14","unstructured":"Wongsuphasawat, K., Liu, Y., Heer, J.: Goals, process, and challenges of exploratory data analysis: an interview study. arXiv preprint arXiv:1911.00568 (2019)"},{"issue":"1","key":"27_CR15","doi-asserted-by":"publisher","first-page":"346","DOI":"10.1109\/TVCG.2021.3114814","volume":"28","author":"Z Zeng","year":"2022","unstructured":"Zeng, Z., et al.: An evaluation-focused framework for visualization recommendation algorithms. IEEE Trans. Vis. Comput. Graph. 28(1), 346\u2013356 (2022). https:\/\/doi.org\/10.1109\/TVCG.2021.3114814","journal-title":"IEEE Trans. Vis. Comput. Graph."},{"key":"27_CR16","doi-asserted-by":"publisher","unstructured":"Zhang, S., Li, H., Qu, H., Wang, Y.: AdaVis: adaptive and explainable visualization recommendation for tabular data. IEEE Trans. Visual. Comput. Graph. 1\u201314 (2023). https:\/\/doi.org\/10.1109\/TVCG.2023.3316469","DOI":"10.1109\/TVCG.2023.3316469"}],"container-title":["Lecture Notes in Computer Science","Advances in Computer Graphics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-82021-2_27","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,3,1]],"date-time":"2025-03-01T09:45:39Z","timestamp":1740822339000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-82021-2_27"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"ISBN":["9783031820205","9783031820212"],"references-count":16,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-82021-2_27","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2025]]},"assertion":[{"value":"1 March 2025","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"CGI","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Computer Graphics International Conference","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Geneva","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Switzerland","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":"1 July 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"5 July 2024","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"41","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"cgi2024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/www.cgs-network.org\/cgi24\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}