{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,18]],"date-time":"2026-06-18T15:45:41Z","timestamp":1781797541842,"version":"3.54.5"},"reference-count":27,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2017,10]]},"DOI":"10.1109\/ldav.2017.8231848","type":"proceedings-article","created":{"date-parts":[[2017,12,22]],"date-time":"2017-12-22T01:02:36Z","timestamp":1513904556000},"page":"26-35","source":"Crossref","is-referenced-by-count":29,"title":["Sampling techniques to improve big data exploration"],"prefix":"10.1109","author":[{"given":"Julian A.","family":"Ramos Rojas","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mary","family":"Beth Kery","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Stephanie","family":"Rosenthal","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Anind","family":"Dey","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/IV.2006.31"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9781139924801"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/B978-1-55860-335-6.50026-X"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1145\/2481244.2481247"},{"key":"ref14","author":"manyika","year":"2011","journal-title":"Big Data The Next Frontier for Innovation Competition and Productivity"},{"key":"ref15","article-title":"The WEKA Data Mining Software: An Update","volume":"1","author":"mark","year":"2009","journal-title":"SIGKDD Explorations 11"},{"key":"ref16","author":"mcdonald","year":"2014","journal-title":"Handbook of Biological Statistics"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1145\/1015330.1015349"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/MCG.2006.70"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/MCSE.2007.58"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/B978-1-55860-377-6.50027-X"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1145\/2971648.2971696"},{"key":"ref3","author":"chung","year":"2015","journal-title":"Pool-based Active Learning in Python"},{"key":"ref6","author":"fisher","year":"2012","journal-title":"Trust Me I'm Partially Right Incremental Visualization Lets Analysts Explore Large Datasets Faster"},{"key":"ref5","first-page":"116","article-title":"Dual Strategy Active Learning","author":"pinar","year":"2007","journal-title":"Machine Learning ECML"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1177\/1473871611415994"},{"key":"ref7","author":"lee giles","year":"2007","journal-title":"Learning on the Border Active Learning in Imbalanced Data Classification"},{"key":"ref2","article-title":"Faster Rates in Regression Via Active Learning","author":"rui","year":"2005","journal-title":"UW-Madison Technical Report ECE-05-3 1&#x2013;46"},{"key":"ref9","first-page":"2917","article-title":"Enterprise data analysis and visualization: An interview study","author":"sean","year":"2012","journal-title":"Visualization and Computer Graphics IEEE Transactions"},{"key":"ref1","first-page":"15:1","author":"thomas adler","year":"2008","journal-title":"Measuring Author Contributions to the Wikipedia Proceedings of the 4th International Symposium on Wikis"},{"key":"ref20","first-page":"2825","article-title":"Scikit-learn: Machine Learning in {P}ython","volume":"12","author":"pedregosa","year":"2011","journal-title":"Journal of Machine Learning Research"},{"key":"ref22","article-title":"Plotly Technologies Inc","year":"2015","journal-title":"Plotly Technologies Inc Collaborative data science"},{"key":"ref21","author":"pienta","year":"0","journal-title":"Scalable Graph Exploration and Visualization Sensemaking Challenges and Opportunities"},{"key":"ref24","first-page":"201","article-title":"Active Learning Literature Survey","volume":"15","author":"settles","year":"2010","journal-title":"Machine Learning"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2005.53"},{"key":"ref26","first-page":"231","article-title":"Automatic Crime Prediction Using Events Extracted from Twitter Posts","author":"xiaofeng","year":"2012","journal-title":"Proceedings"},{"key":"ref25","author":"john","year":"1977","journal-title":"Exploratory Data Analysis"}],"event":{"name":"2017 IEEE 7th Symposium on Large Data Analysis and Visualization (LDAV)","location":"Phoenix, AZ","start":{"date-parts":[[2017,10,2]]},"end":{"date-parts":[[2017,10,2]]}},"container-title":["2017 IEEE 7th Symposium on Large Data Analysis and Visualization (LDAV)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8171405\/8231842\/08231848.pdf?arnumber=8231848","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,3,17]],"date-time":"2020-03-17T03:32:41Z","timestamp":1584415961000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8231848\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,10]]},"references-count":27,"URL":"https:\/\/doi.org\/10.1109\/ldav.2017.8231848","relation":{},"subject":[],"published":{"date-parts":[[2017,10]]}}}