{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,25]],"date-time":"2025-03-25T17:55:16Z","timestamp":1742925316564,"version":"3.40.3"},"publisher-location":"Cham","reference-count":14,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030757670"},{"type":"electronic","value":"9783030757687"}],"license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"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":[[2021]]},"DOI":"10.1007\/978-3-030-75768-7_18","type":"book-chapter","created":{"date-parts":[[2021,5,7]],"date-time":"2021-05-07T15:04:20Z","timestamp":1620399860000},"page":"219-230","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Quality Control for Hierarchical Classification with Incomplete Annotations"],"prefix":"10.1007","author":[{"given":"Masafumi","family":"Enomoto","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kunihiro","family":"Takeoka","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yuyang","family":"Dong","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Masafumi","family":"Oyamada","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Takeshi","family":"Okadome","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2021,5,8]]},"reference":[{"key":"18_CR1","doi-asserted-by":"crossref","unstructured":"Brecheisen, S., Kriegel, H.P., Kunath, P., Pryakhin, A.: Hierarchical genre classification for large music collections. In: ICME, pp. 1385\u20131388. IEEE (2006)","DOI":"10.1109\/ICME.2006.262797"},{"key":"18_CR2","doi-asserted-by":"publisher","unstructured":"Cox, M.A.A., Cox, T.F.: Multidimensional scaling. In: Handbook of Data Visualization, pp. 315\u2013347. Springer, Heidelberg (2008). https:\/\/doi.org\/10.1007\/978-3-540-33037-0_14","DOI":"10.1007\/978-3-540-33037-0_14"},{"key":"18_CR3","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/3148148","volume":"51","author":"F Daniel","year":"2018","unstructured":"Daniel, F., et al.: Quality control in crowdsourcing: a survey of quality attributes, assessment techniques, and assurance actions. ACM Comput. Surv. 51, 1\u201340 (2018)","journal-title":"ACM Comput. Surv."},{"issue":"1","key":"18_CR4","first-page":"20","volume":"28","author":"AP Dawid","year":"1979","unstructured":"Dawid, A.P., Skene, A.M.: Maximum likelihood estimation of observer error-rates using the EM algorithm. J. R. Stat. Soc. Ser. C Appl. Stat. 28(1), 20\u201328 (1979)","journal-title":"J. R. Stat. Soc. Ser. C Appl. Stat."},{"key":"18_CR5","doi-asserted-by":"crossref","unstructured":"Deng, J., et al.: ImageNet: a large-scale hierarchical image database. In: CVPR, pp. 248\u2013255. IEEE (2009)","DOI":"10.1109\/CVPR.2009.5206848"},{"key":"18_CR6","unstructured":"Kiritchenko, S., Matwin, S., Famili, A.F.: Functional annotation of genes using hierarchical text categorization. In: Proceedings of the ACL Workshop on Linking Biological Literature, Ontologies and Databases: Mining Biological Semantics (2005)"},{"key":"18_CR7","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"232","DOI":"10.1007\/978-3-319-97304-3_18","volume-title":"PRICAI 2018: Trends in Artificial Intelligence","author":"S-Y Li","year":"2018","unstructured":"Li, S.-Y., Jiang, Y.: Multi-label crowdsourcing learning with incomplete annotations. In: Geng, X., Kang, B.-H. (eds.) PRICAI 2018. LNCS (LNAI), vol. 11012, pp. 232\u2013245. Springer, Cham (2018). https:\/\/doi.org\/10.1007\/978-3-319-97304-3_18"},{"issue":"11","key":"18_CR8","doi-asserted-by":"publisher","first-page":"39","DOI":"10.1145\/219717.219748","volume":"38","author":"GA Miller","year":"1995","unstructured":"Miller, G.A.: WordNet: a lexical database for English. Commun. ACM 38(11), 39\u201341 (1995)","journal-title":"Commun. ACM"},{"key":"18_CR9","doi-asserted-by":"crossref","unstructured":"Otani, N., Baba, Y., Kashima, H.: Quality control for crowdsourced hierarchical classification. In: ICDM, pp. 937\u2013942. IEEE (2015)","DOI":"10.1109\/ICDM.2015.83"},{"issue":"1\u20132","key":"18_CR10","doi-asserted-by":"publisher","first-page":"31","DOI":"10.1007\/s10618-010-0175-9","volume":"22","author":"CN Silla","year":"2011","unstructured":"Silla, C.N., Freitas, A.A.: A survey of hierarchical classification across different application domains. Data Min. Knowl. Discov. 22(1\u20132), 31\u201372 (2011)","journal-title":"Data Min. Knowl. Discov."},{"key":"18_CR11","doi-asserted-by":"crossref","unstructured":"Tu, J., et al.: Multi-label answer aggregation based on joint matrix factorization. In: ICDM, pp. 517\u2013526. IEEE (2018)","DOI":"10.1109\/ICDM.2018.00067"},{"key":"18_CR12","unstructured":"Whitehill, J., et al.: Whose vote should count more: optimal integration of labels from labelers of unknown expertise. In: NeurIPS, pp. 2035\u20132043 (2009)"},{"key":"18_CR13","doi-asserted-by":"crossref","unstructured":"Yan, Y., Huang, S.: Cost-effective active learning for hierarchical multi-label classification. In: IJCAI, pp. 2962\u20132968 (2018)","DOI":"10.24963\/ijcai.2018\/411"},{"issue":"5","key":"18_CR14","doi-asserted-by":"publisher","first-page":"541","DOI":"10.14778\/3055540.3055547","volume":"10","author":"Y Zheng","year":"2017","unstructured":"Zheng, Y., et al.: Truth inference in crowdsourcing: is the problem solved? Proc. VLDB Endow. 10(5), 541\u2013552 (2017)","journal-title":"Proc. VLDB Endow."}],"container-title":["Lecture Notes in Computer Science","Advances in Knowledge Discovery and Data Mining"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-75768-7_18","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,12,9]],"date-time":"2021-12-09T21:40:01Z","timestamp":1639086001000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-75768-7_18"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"ISBN":["9783030757670","9783030757687"],"references-count":14,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-75768-7_18","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2021]]},"assertion":[{"value":"8 May 2021","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"PAKDD","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Pacific-Asia Conference on Knowledge Discovery and Data Mining","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2021","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"11 May 2021","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"14 May 2021","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"25","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"pakdd2021","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/pakdd2021.org\/","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":"CMT","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"673","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":"157","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":"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","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":"7","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)"}}]}}