{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,4]],"date-time":"2026-04-04T18:02:47Z","timestamp":1775325767038,"version":"3.50.1"},"publisher-location":"Singapore","reference-count":17,"publisher":"Springer Nature Singapore","isbn-type":[{"value":"9789819962211","type":"print"},{"value":"9789819962228","type":"electronic"}],"license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023]]},"DOI":"10.1007\/978-981-99-6222-8_32","type":"book-chapter","created":{"date-parts":[[2023,9,8]],"date-time":"2023-09-08T12:16:27Z","timestamp":1694175387000},"page":"383-390","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Lazy Machine Unlearning Strategy for\u00a0Random Forests"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0009-0009-8354-2158","authenticated-orcid":false,"given":"Nan","family":"Sun","sequence":"first","affiliation":[]},{"given":"Ning","family":"Wang","sequence":"additional","affiliation":[]},{"given":"Zhigang","family":"Wang","sequence":"additional","affiliation":[]},{"given":"Jie","family":"Nie","sequence":"additional","affiliation":[]},{"given":"Zhiqiang","family":"Wei","sequence":"additional","affiliation":[]},{"given":"Peishun","family":"Liu","sequence":"additional","affiliation":[]},{"given":"Xiaodong","family":"Wang","sequence":"additional","affiliation":[]},{"given":"Haipeng","family":"Qu","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2023,9,9]]},"reference":[{"key":"32_CR1","doi-asserted-by":"crossref","unstructured":"Bourtoule, L., et al.: Machine unlearning. In: IEEE Symposium on Security and Privacy, pp. 141\u2013159 (2021)","DOI":"10.1109\/SP40001.2021.00019"},{"key":"32_CR2","unstructured":"Brophy, J., Lowd, D.: Machine unlearning for random forests. In: ICML. Proceedings of Machine Learning Research, vol. 139, pp. 1092\u20131104 (2021)"},{"key":"32_CR3","doi-asserted-by":"crossref","unstructured":"Cao, Y., Yang, J.: Towards making systems forget with machine unlearning. In: IEEE Symposium on Security and Privacy, pp. 463\u2013480 (2015)","DOI":"10.1109\/SP.2015.35"},{"key":"32_CR4","unstructured":"Criteo.: Criteo click-through rate prediction (2015). https:\/\/ailab.criteo.com\/downloadcriteo-1tb-click-logs-dataset\/. Accessed 25 Jan 2021"},{"key":"32_CR5","unstructured":"Dua, D., Graff, C.: UCI machine learning repository (2019). https:\/\/archive.ics.uci.edu\/ml"},{"key":"32_CR6","unstructured":"Ginart, A., Guan, M.Y., Valiant, G., Zou, J.: Making AI forget you: data deletion in machine learning. In: NeurIPS, pp. 3513\u20133526 (2019)"},{"key":"32_CR7","unstructured":"Kaggle.: Medical appointment no shows (2016). https:\/\/www.kaggle.com\/joniarroba\/noshowappointments. Accessed 25 Jan 2021"},{"key":"32_CR8","unstructured":"Kaggle.: 120 years of olympic history: Athletes and events (2018). https:\/\/www.kaggle.com\/heesoo37\/120-years-of-olympic-history-athletes-and-results. Accessed 28 July 2020"},{"key":"32_CR9","unstructured":"Kaggle.: Credit card fraud detection (2018). https:\/\/www.kaggle.com\/mlg-ulb\/creditcardfraud\/. Accessed 27 July 2020"},{"key":"32_CR10","unstructured":"Kaggle: Dataset surgical binary classification (2018). https:\/\/www.kaggle.com\/omnamahshivai\/surgical-dataset-binary-classification\/version\/1#. Accessed 29 July 2020"},{"key":"32_CR11","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"190","DOI":"10.1007\/978-3-030-87571-8_16","volume-title":"Web Information Systems and Applications","author":"X Liu","year":"2021","unstructured":"Liu, X., Zhao, R., Zhang, Y., Zhang, F.: Prognosis prediction of breast cancer based on CGAN. In: Xing, C., Fu, X., Zhang, Y., Zhang, G., Borjigin, C. (eds.) WISA 2021. LNCS, vol. 12999, pp. 190\u2013197. Springer, Cham (2021). https:\/\/doi.org\/10.1007\/978-3-030-87571-8_16"},{"key":"32_CR12","doi-asserted-by":"crossref","unstructured":"Mantelero, A.: The EU proposal for a general data protection regulation and the roots of the \u2018right to be forgotten\u2019. Comput. Law Secur. Rev. 29(3), 229\u2013235 (2013)","DOI":"10.1016\/j.clsr.2013.03.010"},{"key":"32_CR13","doi-asserted-by":"publisher","first-page":"22","DOI":"10.1016\/j.dss.2014.03.001","volume":"62","author":"S Moro","year":"2014","unstructured":"Moro, S., Cortez, P., Rita, P.: A data-driven approach to predict the success of bank telemarketing. Decis. Support Syst. 62, 22\u201331 (2014)","journal-title":"Decis. Support Syst."},{"key":"32_CR14","unstructured":"Research, Administration, I.T.: Airline on-time performance and causes of flight delays (2019). https:\/\/catalog.data.gov\/dataset\/airline-on-time-performance-and-causes-of-flight-delays-on-time-data. Accessed 16 April 2020"},{"key":"32_CR15","doi-asserted-by":"crossref","unstructured":"Schelter, S., Grafberger, S., Dunning, T.: Hedgecut: maintaining randomised trees for low-latency machine unlearning. In: SIGMOD Conference, pp. 1545\u20131557 (2021)","DOI":"10.1145\/3448016.3457239"},{"key":"32_CR16","doi-asserted-by":"publisher","unstructured":"Shokri, R., Stronati, M., Song, C., Shmatikov, V.: Membership inference attacks against machine learning models. In: 2017 IEEE Symposium on Security and Privacy (SP), pp. 3\u201318 (2017). https:\/\/doi.org\/10.1109\/SP.2017.41","DOI":"10.1109\/SP.2017.41"},{"key":"32_CR17","doi-asserted-by":"crossref","unstructured":"Strack, B., et al.: Impact of HbA1c measurement on hospital readmission rates: analysis of 70,000 clinical database patient records. BioMed. Res. Int. 2014 (2014)","DOI":"10.1155\/2014\/781670"}],"container-title":["Lecture Notes in Computer Science","Web Information Systems and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-99-6222-8_32","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,12]],"date-time":"2024-03-12T08:37:36Z","timestamp":1710232656000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-99-6222-8_32"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"ISBN":["9789819962211","9789819962228"],"references-count":17,"URL":"https:\/\/doi.org\/10.1007\/978-981-99-6222-8_32","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023]]},"assertion":[{"value":"9 September 2023","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"WISA","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Web Information Systems and Applications","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Chengdu","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2023","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"15 September 2023","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"17 September 2023","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"wisa22023","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/conf.ccf.org.cn\/wisa2023","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Double-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"CMT","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"196","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":"43","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":"9","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":"22% - 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","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":"5","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":"No","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}