{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,12]],"date-time":"2025-12-12T13:25:21Z","timestamp":1765545921041},"reference-count":9,"publisher":"Association for Computing Machinery (ACM)","issue":"1-2","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Proc. VLDB Endow."],"published-print":{"date-parts":[[2010,9]]},"abstract":"<jats:p>\n            We present Data Auditor, a tool for exploring data quality and data semantics. Given a rule or an integrity constraint and a target relation, Data Auditor computes\n            <jats:italic>pattern tableaux<\/jats:italic>\n            , which concisely summarize subsets of the relation that (mostly) satisfy or (mostly) fail the constraint. This paper describes 1) the architecture and user interface of Data Auditor, 2) the supported constraints for testing data consistency and completeness, 3) the heuristics used by Data Auditor to \"tune\" a given constraint or its associated parameters for better fit with the data, and 4) several demonstration scenarios. using real data sets.\n          <\/jats:p>","DOI":"10.14778\/1920841.1921060","type":"journal-article","created":{"date-parts":[[2014,6,24]],"date-time":"2014-06-24T12:17:57Z","timestamp":1403612277000},"page":"1641-1644","source":"Crossref","is-referenced-by-count":33,"title":["Data Auditor"],"prefix":"10.14778","volume":"3","author":[{"given":"Lukasz","family":"Golab","sequence":"first","affiliation":[{"name":"AT&amp;T Labs - Research, Florham Park, NJ"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Howard","family":"Karloff","sequence":"additional","affiliation":[{"name":"AT&amp;T Labs - Research, Florham Park, NJ"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Flip","family":"Korn","sequence":"additional","affiliation":[{"name":"AT&amp;T Labs - Research, Florham Park, NJ"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Divesh","family":"Srivastava","sequence":"additional","affiliation":[{"name":"AT&amp;T Labs - Research, Florham Park, NJ"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2010,9]]},"reference":[{"key":"e_1_2_1_1_1","first-page":"243","article-title":"Extending dependencies with conditions","volume":"2007","author":"Bravo L.","unstructured":"L. Bravo , W. Fan , and S. Ma . Extending dependencies with conditions . VLDB 2007 , 243 -- 254 . L. Bravo, W. Fan, and S. Ma. Extending dependencies with conditions. VLDB 2007, 243--254.","journal-title":"VLDB"},{"key":"e_1_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1145\/564691.564719"},{"key":"e_1_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1145\/1454159.1454200"},{"key":"e_1_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1145\/1366102.1366103"},{"key":"e_1_2_1_5_1","first-page":"371","article-title":"Declarative data cleaning: language, model, and algorithms","volume":"2001","author":"Galhardas H.","unstructured":"H. Galhardas , D. Florescu , D. Shasa , E. Simon and C.-A. Saita . Declarative data cleaning: language, model, and algorithms . VLDB 2001 , 371 -- 380 . H. Galhardas, D. Florescu, D. Shasa, E. Simon and C.-A. Saita. Declarative data cleaning: language, model, and algorithms. VLDB 2001, 371--380.","journal-title":"VLDB"},{"key":"e_1_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.14778\/1687627.1687693"},{"key":"e_1_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1145\/1453856.1453900"},{"key":"e_1_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1145\/1140104.1140114"},{"key":"e_1_2_1_9_1","first-page":"381","article-title":"Potter's wheel: An interactive data cleaning system","volume":"2001","author":"Raman V.","unstructured":"V. Raman and J. Hellerstein . Potter's wheel: An interactive data cleaning system . VLDB 2001 , 381 -- 390 . V. Raman and J. Hellerstein. Potter's wheel: An interactive data cleaning system. VLDB 2001, 381--390.","journal-title":"VLDB"}],"container-title":["Proceedings of the VLDB Endowment"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.14778\/1920841.1921060","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,12,28]],"date-time":"2022-12-28T11:51:41Z","timestamp":1672228301000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.14778\/1920841.1921060"}},"subtitle":["exploring data quality and semantics using pattern tableaux"],"short-title":[],"issued":{"date-parts":[[2010,9]]},"references-count":9,"journal-issue":{"issue":"1-2","published-print":{"date-parts":[[2010,9]]}},"alternative-id":["10.14778\/1920841.1921060"],"URL":"https:\/\/doi.org\/10.14778\/1920841.1921060","relation":{},"ISSN":["2150-8097"],"issn-type":[{"value":"2150-8097","type":"print"}],"subject":[],"published":{"date-parts":[[2010,9]]}}}