{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2022,12,29]],"date-time":"2022-12-29T05:21:31Z","timestamp":1672291291557},"reference-count":5,"publisher":"Association for Computing Machinery (ACM)","issue":"13","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Proc. VLDB Endow."],"published-print":{"date-parts":[[2016,9]]},"abstract":"<jats:p>\n            Blaeu is an interactive database exploration tool. Its aim is to guide casual users through large data tables, ultimately triggering insights and serendipity. To do so, it relies on a double cluster analysis mechanism. It clusters the data vertically: it detects\n            <jats:italic>themes<\/jats:italic>\n            , groups of mutually dependent columns that highlight one aspect of the data. Then it clusters the data horizontally. For each theme, it produces a data map, an interactive visualization of the clusters in the table. The\n            <jats:italic>data maps<\/jats:italic>\n            summarize the data. They provide a visual synopsis of the clusters, as well as facilities to inspect their content and annotate them. But they also let the users navigate further. Our explorers can change the active set of columns or drill down into the clusters to refine their selection. Our prototype is fully operational, ready to deliver insights from complex databases.\n          <\/jats:p>","DOI":"10.14778\/3007263.3007288","type":"journal-article","created":{"date-parts":[[2016,11,1]],"date-time":"2016-11-01T13:47:47Z","timestamp":1478008067000},"page":"1477-1480","source":"Crossref","is-referenced-by-count":0,"title":["Blaeu"],"prefix":"10.14778","volume":"9","author":[{"given":"Thibault","family":"Sellam","sequence":"first","affiliation":[{"name":"CWI, the Netherlands"}]},{"given":"Robin","family":"Cijvat","sequence":"additional","affiliation":[{"name":"MonetDB Solutions, the Netherlands"}]},{"given":"Richard","family":"Koopmanschap","sequence":"additional","affiliation":[{"name":"MonetDB Solutions, the Netherlands"}]},{"given":"Martin","family":"Kersten","sequence":"additional","affiliation":[{"name":"CWI, the Netherlands"}]}],"member":"320","published-online":{"date-parts":[[2016,9]]},"reference":[{"key":"e_1_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1145\/2380116.2380144"},{"key":"e_1_2_1_2_1","volume-title":"Classification and regression trees","author":"Breiman L.","year":"1984","unstructured":"L. Breiman , J. Friedman , C. J. Stone , and R. A. Olshen . Classification and regression trees . CRC press , 1984 . L. Breiman, J. Friedman, C. J. Stone, and R. A. Olshen. Classification and regression trees. CRC press, 1984."},{"key":"e_1_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1002\/9780470316801"},{"key":"e_1_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2016.2515590"},{"key":"e_1_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1109\/2945.981851"}],"container-title":["Proceedings of the VLDB Endowment"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.14778\/3007263.3007288","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,12,28]],"date-time":"2022-12-28T09:35:12Z","timestamp":1672220112000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.14778\/3007263.3007288"}},"subtitle":["mapping and navigating large tables with cluster analysis"],"short-title":[],"issued":{"date-parts":[[2016,9]]},"references-count":5,"journal-issue":{"issue":"13","published-print":{"date-parts":[[2016,9]]}},"alternative-id":["10.14778\/3007263.3007288"],"URL":"https:\/\/doi.org\/10.14778\/3007263.3007288","relation":{},"ISSN":["2150-8097"],"issn-type":[{"value":"2150-8097","type":"print"}],"subject":[],"published":{"date-parts":[[2016,9]]}}}