{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T19:56:15Z","timestamp":1743105375957,"version":"3.40.3"},"publisher-location":"Cham","reference-count":14,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030579760"},{"type":"electronic","value":"9783030579777"}],"license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020]]},"DOI":"10.1007\/978-3-030-57977-7_13","type":"book-chapter","created":{"date-parts":[[2020,8,18]],"date-time":"2020-08-18T14:05:55Z","timestamp":1597759555000},"page":"168-176","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["On Defining Rules for Cancer Data Fabrication"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5918-9114","authenticated-orcid":false,"given":"Juliana K. F.","family":"Bowles","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0012-9256","authenticated-orcid":false,"given":"Agastya","family":"Silvina","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Eyal","family":"Bin","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Michael","family":"Vinov","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2020,8,19]]},"reference":[{"key":"13_CR1","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"219","DOI":"10.1007\/978-3-642-34188-5_19","volume-title":"Hardware and Software: Verification and Testing","author":"A Adir","year":"2012","unstructured":"Adir, A., Levy, R., Salman, T.: Dynamic test data generation for data intensive applications. In: Eder, K., Louren\u00e7o, J., Shehory, O. (eds.) HVC 2011. LNCS, vol. 7261, pp. 219\u2013233. Springer, Heidelberg (2012). https:\/\/doi.org\/10.1007\/978-3-642-34188-5_19"},{"key":"13_CR2","series-title":"Lecture Notes in Business Information Processing","doi-asserted-by":"publisher","first-page":"199","DOI":"10.1007\/978-3-319-03602-1_13","volume-title":"Software Quality. Model-Based Approaches for Advanced Software and Systems Engineering","author":"H-M Adorf","year":"2014","unstructured":"Adorf, H.-M., Varendorff, M.: Constraint-based automated generation of test data. In: Winkler, D., Biffl, S., Bergsmann, J. (eds.) SWQD 2014. LNBIP, vol. 166, pp. 199\u2013213. Springer, Cham (2014). https:\/\/doi.org\/10.1007\/978-3-319-03602-1_13"},{"key":"13_CR3","doi-asserted-by":"publisher","first-page":"91","DOI":"10.1016\/j.tjem.2018.08.001","volume":"18","author":"H Akoglu","year":"2018","unstructured":"Akoglu, H.: User\u2019s guide to correlation coefficients. Turk. J. Emerg. Med. 18, 91\u201393 (2018)","journal-title":"Turk. J. Emerg. Med."},{"key":"13_CR4","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"55","DOI":"10.1007\/978-3-319-66158-2_4","volume-title":"Principles and Practice of Constraint Programming","author":"E Bilgory","year":"2017","unstructured":"Bilgory, E., Bin, E., Ziv, A.: Solving constraint satisfaction problems containing vectors of unknown size. In: Beck, J.C. (ed.) CP 2017. LNCS, vol. 10416, pp. 55\u201370. Springer, Cham (2017). https:\/\/doi.org\/10.1007\/978-3-319-66158-2_4"},{"key":"13_CR5","first-page":"27","volume":"3","author":"G Caiola","year":"2010","unstructured":"Caiola, G., Reiter, J.P.: Random forests for generating partially synthetic categorical data. Trans. Data Privacy 3, 27\u201342 (2010)","journal-title":"Trans. Data Privacy"},{"key":"13_CR6","unstructured":"Dandekar, A., Zen, R.A.M., Bressan, S.: Comparative evaluation of synthetic data generation methods. In: Proceedings of ACM Conference (Deep Learning Security Workshop) (2017)"},{"key":"13_CR7","doi-asserted-by":"crossref","unstructured":"Janic, V., Bowles, J.K.F., Vermeulen, A.F., et al.: The serums tool-chain: Ensuring security and privacy of medical data in smart patient-centric healthcare systems. In: IEEE International Conference on Big Data (IEEE Big Data 2019) (2019)","DOI":"10.1109\/BigData47090.2019.9005600"},{"issue":"9","key":"13_CR8","doi-asserted-by":"publisher","first-page":"69","DOI":"10.1145\/1995376.1995394","volume":"54","author":"L de Moura","year":"2011","unstructured":"de Moura, L., Bj\u00f8rner, N.: Satisfiability modulo theories: introduction and applications. Commun. ACM 54(9), 69\u201377 (2011)","journal-title":"Commun. ACM"},{"key":"13_CR9","first-page":"441","volume":"21","author":"JP Reiter","year":"2005","unstructured":"Reiter, J.P.: Using CART to generate partially synthetic public use microdata. J. Official Statist. 21, 441\u2013462 (2005)","journal-title":"J. Official Statist."},{"key":"13_CR10","doi-asserted-by":"publisher","first-page":"171","DOI":"10.1016\/j.jphys.2016.05.008","volume":"62","author":"CE Roffman","year":"2016","unstructured":"Roffman, C.E., Buchanan, J., Allison, G.T.: Charlson comorbidities index. J. Physiotherapy 62, 171 (2016)","journal-title":"J. Physiotherapy"},{"key":"13_CR11","first-page":"461","volume":"9","author":"DB Rubin","year":"1993","unstructured":"Rubin, D.B.: Discussion statistical disclosure limitation. J. Official Statist. 9, 461\u2013468 (1993)","journal-title":"J. Official Statist."},{"key":"13_CR12","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"180","DOI":"10.1007\/978-3-030-21642-9_24","volume-title":"Artificial Intelligence in Medicine","author":"A Silvina","year":"2019","unstructured":"Silvina, A., Bowles, J., Hall, P.: On predicting the outcomes of chemotherapy treatments in breast cancer. In: Ria\u00f1o, D., Wilk, S., ten Teije, A. (eds.) AIME 2019. LNCS (LNAI), vol. 11526, pp. 180\u2013190. Springer, Cham (2019). https:\/\/doi.org\/10.1007\/978-3-030-21642-9_24"},{"key":"13_CR13","unstructured":"Silvina, A., Bowles, J., Hall, P.: Combining patient pathway visualisation with prediction outcomes for chemotherapy treatments. In: 12th International Conference on eHealth, Telemedicine, and Social Medicine, pp. 108\u2013113. IARIA (2020)"},{"key":"13_CR14","volume-title":"Foundations of Constraint Satisfaction","author":"E Tsang","year":"1993","unstructured":"Tsang, E.: Foundations of Constraint Satisfaction. Academic Press, Cambridge (1993)"}],"container-title":["Lecture Notes in Computer Science","Rules and Reasoning"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-57977-7_13","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,4,23]],"date-time":"2021-04-23T19:28:36Z","timestamp":1619206116000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-57977-7_13"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"ISBN":["9783030579760","9783030579777"],"references-count":14,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-57977-7_13","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2020]]},"assertion":[{"value":"19 August 2020","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"RuleML+RR","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Joint Conference on Rules and Reasoning","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Oslo","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Norway","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2020","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"29 June 2020","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"1 July 2020","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"4","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"rulemlrr2020","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/2020.declarativeai.net\/events\/ruleml-rr","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":"30","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":"7","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":"6","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":"23% - 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":"3.6","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":"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)"}},{"value":"The conference was held virtually due to the COVID-19 pandemic.","order":10,"name":"additional_info_on_review_process","label":"Additional Info on Review Process","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}