{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,7]],"date-time":"2026-04-07T17:39:34Z","timestamp":1775583574192,"version":"3.50.1"},"publisher-location":"Cham","reference-count":13,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783030161477","type":"print"},{"value":"9783030161484","type":"electronic"}],"license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"tdm","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":[[2019]]},"DOI":"10.1007\/978-3-030-16148-4_43","type":"book-chapter","created":{"date-parts":[[2019,4,4]],"date-time":"2019-04-04T02:50:37Z","timestamp":1554346237000},"page":"555-573","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Clustering of Mixed-Type Data Considering Concept Hierarchies"],"prefix":"10.1007","author":[{"given":"Sahar","family":"Behzadi","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Nikola S.","family":"M\u00fcller","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Claudia","family":"Plant","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Christian","family":"B\u00f6hm","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2019,3,22]]},"reference":[{"key":"43_CR1","doi-asserted-by":"publisher","first-page":"503","DOI":"10.1016\/j.datak.2007.03.016","volume":"63","author":"A Ahmad","year":"2007","unstructured":"Ahmad, A., Dey, L.: A k-mean clustering algorithm for mixed numeric and categorical data. Data Knowl. Eng. 63, 503\u2013527 (2007)","journal-title":"Data Knowl. Eng."},{"key":"43_CR2","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"19","DOI":"10.1007\/978-3-319-98812-2_2","volume-title":"Database and Expert Systems Applications","author":"S Behzadi","year":"2018","unstructured":"Behzadi, S., Ibrahim, M.A., Plant, C.: Parameter free mixed-type density-based clustering. In: Hartmann, S., Ma, H., Hameurlain, A., Pernul, G., Wagner, R.R. (eds.) DEXA 2018. LNCS, vol. 11030, pp. 19\u201334. Springer, Cham (2018). https:\/\/doi.org\/10.1007\/978-3-319-98812-2_2"},{"key":"43_CR3","doi-asserted-by":"crossref","unstructured":"B\u00f6hm, C., Faloutsos, C., Pan, J., Plant, C.: Robust information-theoretic clustering. In: KDD (2006)","DOI":"10.1145\/1150402.1150414"},{"key":"43_CR4","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"38","DOI":"10.1007\/978-3-642-13657-3_7","volume-title":"Advances in Knowledge Discovery and Data Mining","author":"C B\u00f6hm","year":"2010","unstructured":"B\u00f6hm, C., Goebl, S., Oswald, A., Plant, C., Plavinski, M., Wackersreuther, B.: Integrative parameter-free clustering of data with mixed type attributes. In: Zaki, M.J., Yu, J.X., Ravindran, B., Pudi, V. (eds.) PAKDD 2010. LNCS (LNAI), vol. 6118, pp. 38\u201347. Springer, Heidelberg (2010). https:\/\/doi.org\/10.1007\/978-3-642-13657-3_7"},{"key":"43_CR5","unstructured":"He, Z., Xu, X., Deng, S.: Clustering mixed numeric and categorical data: a cluster ensemble approach. CoRR abs\/cs\/0509011 (2005)"},{"issue":"20","key":"43_CR6","doi-asserted-by":"publisher","first-page":"4474","DOI":"10.1016\/j.ins.2007.05.003","volume":"177","author":"CC Hsu","year":"2007","unstructured":"Hsu, C.C., Chen, C.L., Su, Y.W.: Hierarchical clustering of mixed data based on distance hierarchy. Inf. Sci. 177(20), 4474\u20134492 (2007)","journal-title":"Inf. Sci."},{"issue":"1","key":"43_CR7","doi-asserted-by":"publisher","first-page":"12","DOI":"10.1016\/j.eswa.2005.11.017","volume":"32","author":"CC Hsu","year":"2007","unstructured":"Hsu, C.C., Chen, Y.C.: Mining of mixed data with application to catalog marketing. Expert Syst. Appl. 32(1), 12\u201323 (2007)","journal-title":"Expert Syst. Appl."},{"key":"43_CR8","doi-asserted-by":"publisher","first-page":"283","DOI":"10.1023\/A:1009769707641","volume":"2","author":"Z Huang","year":"1998","unstructured":"Huang, Z.: Extensions to the k-means algorithm for clustering large data sets with categorical values. Data Min. Knowl. Discov. 2, 283\u2013304 (1998)","journal-title":"Data Min. Knowl. Discov."},{"issue":"2","key":"43_CR9","doi-asserted-by":"publisher","first-page":"155","DOI":"10.1007\/s11634-016-0238-x","volume":"10","author":"D McParland","year":"2016","unstructured":"McParland, D., Gormley, I.C.: Model based clustering for mixed data: ClustMD. Adv. Data Anal. Classif. 10(2), 155\u2013169 (2016)","journal-title":"Adv. Data Anal. Classif."},{"key":"43_CR10","doi-asserted-by":"crossref","unstructured":"Plant, C., B\u00f6hm, C.: INCONCO: interpretable clustering of numerical and categorical objects. In: KDD, pp. 1127\u20131135 (2011)","DOI":"10.1145\/2020408.2020584"},{"issue":"2","key":"43_CR11","doi-asserted-by":"publisher","first-page":"416","DOI":"10.1214\/aos\/1176346150","volume":"11","author":"J Rissanen","year":"1983","unstructured":"Rissanen, J.: A universal prior for integers and estimation by minimum description length. Ann. Stat. 11(2), 416\u201331 (1983)","journal-title":"Ann. Stat."},{"key":"43_CR12","doi-asserted-by":"crossref","unstructured":"Vinh, N.X., Epps, J., Bailey, J.: Information theoretic measures for clusterings comparison: is a correction for chance necessary? In: ICML (2009)","DOI":"10.1145\/1553374.1553511"},{"key":"43_CR13","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"655","DOI":"10.1007\/11576235_66","volume-title":"Parallel and Distributed Processing and Applications","author":"J Yin","year":"2005","unstructured":"Yin, J., Tan, Z.: Clustering mixed type attributes in large dataset. In: Pan, Y., Chen, D., Guo, M., Cao, J., Dongarra, J. (eds.) ISPA 2005. LNCS, vol. 3758, pp. 655\u2013661. Springer, Heidelberg (2005). https:\/\/doi.org\/10.1007\/11576235_66"}],"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\/978-3-030-16148-4_43","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,7]],"date-time":"2024-03-07T12:31:15Z","timestamp":1709814675000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-16148-4_43"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"ISBN":["9783030161477","9783030161484"],"references-count":13,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-16148-4_43","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019]]},"assertion":[{"value":"22 March 2019","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":"Macau","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":"2019","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"14 April 2019","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"17 April 2019","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"23","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"pakdd2019","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.pakdd2019.org","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":"Microsoft Conf. Man. Toolkit CMT","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"542","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":"137","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":"25% - 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":"3.79","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":"5.85","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":"In addition, there were 31 PAKDD 2019 Workshops' papers accepted for publication","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)"}}]}}