{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,25]],"date-time":"2025-03-25T15:50:06Z","timestamp":1742917806977,"version":"3.40.3"},"publisher-location":"Cham","reference-count":11,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783031139444"},{"type":"electronic","value":"9783031139451"}],"license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022]]},"DOI":"10.1007\/978-3-031-13945-1_8","type":"book-chapter","created":{"date-parts":[[2022,9,13]],"date-time":"2022-09-13T23:02:54Z","timestamp":1663110174000},"page":"105-115","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Synthetic Decimal Numbers as\u00a0a\u00a0Flexible Tool for\u00a0Suppression of\u00a0Post-published Tabular Data"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1380-4396","authenticated-orcid":false,"given":"\u00d8yvind","family":"Langsrud","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4522-8987","authenticated-orcid":false,"given":"Hege Marie","family":"B\u00f8velstad","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2022,9,14]]},"reference":[{"key":"8_CR1","unstructured":"Bates, D., R Development Core Team: Comparing Least Squares Calculations (2022). https:\/\/cran.r-project.org\/package=Matrix (r Vignette)"},{"key":"8_CR2","doi-asserted-by":"publisher","unstructured":"Burridge, J.: Information preserving statistical obfuscation. Stat. Comput. 13(4), 321\u2013327 (2003). https:\/\/doi.org\/10.1023\/A:1025658621216","DOI":"10.1023\/A:1025658621216"},{"key":"8_CR3","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"3","DOI":"10.1007\/978-3-319-45381-1_1","volume-title":"Privacy in Statistical Databases","author":"J Castro","year":"2016","unstructured":"Castro, J., Via, A.: Revisiting interval protection, a.k.a. partial cell suppression, for tabular data. In: Domingo-Ferrer, J., Peji\u0107-Bach, M. (eds.) PSD 2016. LNCS, vol. 9867, pp. 3\u201314. Springer, Cham (2016). https:\/\/doi.org\/10.1007\/978-3-319-45381-1_1"},{"key":"8_CR4","doi-asserted-by":"publisher","unstructured":"Chan, T.F.: Rank revealing QR factorizations. Linear Alg. Appl. 88, 67\u201382 (1987). https:\/\/doi.org\/10.1016\/0024-3795(87)90103-0","DOI":"10.1016\/0024-3795(87)90103-0"},{"key":"8_CR5","doi-asserted-by":"crossref","unstructured":"Fischetti, M., Salazar, J.J.: Solving the cell suppression problem on tabular data with linear constraints. Manag. Sci. 47(7), 1008\u20131027 (2001). http:\/\/www.jstor.org\/stable\/822485","DOI":"10.1287\/mnsc.47.7.1008.9805"},{"key":"8_CR6","unstructured":"Giessing, S., de\u00a0Wolf, P.P., Reiffert, M., Geyer, F.: Considerations to deal with the frozen cell problem in Tau-Argus Modular. In: Joint UNECE\/Eurostat Expert Meeting on Statistical Data Confidentiality, 1\u20133 December 2021, Pozna\u0144, Poland (2021)"},{"key":"8_CR7","doi-asserted-by":"publisher","unstructured":"Hundepool, A., et al.: Statistical Disclosure Control. John Wiley & Sons, Ltd., Boca Raton (2012). https:\/\/doi.org\/10.1002\/9781118348239.ch1","DOI":"10.1002\/9781118348239.ch1"},{"issue":"5","key":"8_CR8","doi-asserted-by":"publisher","first-page":"965","DOI":"10.1007\/s11222-018-9848-9","volume":"29","author":"\u00d8 Langsrud","year":"2019","unstructured":"Langsrud, \u00d8.: Information preserving regression-based tools for statistical disclosure control. Statist. Comput. 29(5), 965\u2013976 (2019). https:\/\/doi.org\/10.1007\/s11222-018-9848-9","journal-title":"Statist. Comput."},{"key":"8_CR9","unstructured":"Langsrud, \u00d8.: easySdcTable: Easy Interface to the Statistical Disclosure Control Package \u2019sdcTable\u2019 Extended with the \u2019GaussSuppression\u2019 Method (2022). https:\/\/CRAN.R-project.org\/package=easySdcTable (r package version 1.0.3)"},{"key":"8_CR10","unstructured":"Langsrud, \u00d8., Lupp, D.: GaussSuppression: Tabular Data Suppression using Gaussian Elimination (2022). https:\/\/CRAN.R-project.org\/package=GaussSuppression (r package version 0.4.0)"},{"key":"8_CR11","unstructured":"Lupp, D.P., Langsrud, \u00d8.: Suppression of directly-disclosive cells in frequency tables. In: Joint UNECE\/Eurostat Expert Meeting on Statistical Data Confidentiality, 1\u20133 December 2021, Pozna\u0144, Poland (2021)"}],"container-title":["Lecture Notes in Computer Science","Privacy in Statistical Databases"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-13945-1_8","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,13]],"date-time":"2024-03-13T11:36:06Z","timestamp":1710329766000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-13945-1_8"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"ISBN":["9783031139444","9783031139451"],"references-count":11,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-13945-1_8","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2022]]},"assertion":[{"value":"14 September 2022","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"PSD","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Privacy in Statistical Databases","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Paris","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"France","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2022","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"21 September 2022","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"23 September 2022","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"psd2022","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/crises-deim.urv.cat\/psd2022\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Single-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Easychair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"45","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"25","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"0","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"56% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"2.1","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"2.3","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}