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This is meant to focus computational resources on data subspaces of interest so as to ensure their computation is completed before all others. Yet, current approaches to select a region of the view space and then to prioritize its corresponding data subspace either require a one-to-one mapping between view and data space, or they need to establish and maintain computationally costly index structures to trace complex mappings between view and data space. We present steering-by-example, a novel interactive steering approach for progressive visual analytics, which allows prioritizing data subspaces for the progression by generating a relaxed query from a set of selected data items. Our approach works independently of the particular visualization technique and without additional index structures. First benchmark results show that steering-by-example considerably improves Precision and Recall for prioritizing unprocessed data for a selected view region, clearly outperforming random uniform sampling.<\/jats:p>","DOI":"10.1145\/3531229","type":"journal-article","created":{"date-parts":[[2022,6,8]],"date-time":"2022-06-08T09:55:56Z","timestamp":1654682156000},"page":"1-26","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":10,"title":["Steering-by-example for Progressive Visual Analytics"],"prefix":"10.1145","volume":"13","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3649-9339","authenticated-orcid":false,"given":"Marius","family":"Hogr\u00e4fer","sequence":"first","affiliation":[{"name":"Aarhus University, Aarhus, Denmark"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9051-6972","authenticated-orcid":false,"given":"Marco","family":"Angelini","sequence":"additional","affiliation":[{"name":"Sapienza University of Rome, Rome, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4350-1123","authenticated-orcid":false,"given":"Giuseppe","family":"Santucci","sequence":"additional","affiliation":[{"name":"Sapienza University of Rome, Rome, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9974-535X","authenticated-orcid":false,"given":"Hans-J\u00f6rg","family":"Schulz","sequence":"additional","affiliation":[{"name":"Aarhus University, Aarhus, Denmark"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2022,9,22]]},"reference":[{"key":"e_1_3_3_2_2","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2021.3104879"},{"key":"e_1_3_3_3_2","doi-asserted-by":"publisher","DOI":"10.2312\/eurova.20191120"},{"key":"e_1_3_3_4_2","doi-asserted-by":"publisher","DOI":"10.3390\/informatics5030031"},{"key":"e_1_3_3_5_2","doi-asserted-by":"publisher","DOI":"10.1016\/S0167-739X(97)00021-6"},{"key":"e_1_3_3_6_2","doi-asserted-by":"publisher","DOI":"10.1111\/cgf.13205"},{"key":"e_1_3_3_7_2","doi-asserted-by":"publisher","DOI":"10.1145\/2882903.2882919"},{"key":"e_1_3_3_8_2","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2011.185"},{"key":"e_1_3_3_9_2","volume-title":"Classification and Regression Trees","author":"Breiman Leo","year":"1984","unstructured":"Leo Breiman, Jerome Friedmann, and Charles J. 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