{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,25]],"date-time":"2025-03-25T18:26:19Z","timestamp":1742927179338,"version":"3.40.3"},"publisher-location":"Cham","reference-count":19,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030320461"},{"type":"electronic","value":"9783030320478"}],"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\/978-3-030-32047-8_20","type":"book-chapter","created":{"date-parts":[[2019,9,24]],"date-time":"2019-09-24T05:07:22Z","timestamp":1569301642000},"page":"221-230","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["SIDEKICK: Linear Correlation Clustering with Supervised Background Knowledge"],"prefix":"10.1007","author":[{"given":"Maximilian Archimedes Xaver","family":"H\u00fcnem\u00f6rder","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Daniyal","family":"Kazempour","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Peer","family":"Kr\u00f6ger","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Thomas","family":"Seidl","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2019,9,23]]},"reference":[{"issue":"3","key":"20_CR1","doi-asserted-by":"publisher","first-page":"111","DOI":"10.1002\/sam.10012","volume":"1","author":"E Achtert","year":"2008","unstructured":"Achtert, E., B\u00f6hm, C., David, J., Kr\u00f6ger, P., Zimek, A.: Global correlation clustering based on the hough transform. Stat. Anal. Data Min.: ASA Data Sci. J. 1(3), 111\u2013127 (2008)","journal-title":"Stat. Anal. Data Min.: ASA Data Sci. J."},{"key":"20_CR2","doi-asserted-by":"crossref","unstructured":"Achtert, E., B\u00f6hm, C., Kriegel, H.P., Kr\u00f6ger, P., Zimek, A.: Deriving quantitative models for correlation clusters. In: Proceedings of the 12th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 4\u201313. ACM (2006)","DOI":"10.1145\/1150402.1150408"},{"key":"20_CR3","doi-asserted-by":"crossref","unstructured":"Achtert, E., B\u00f6hm, C., Kriegel, H.P., Kr\u00f6ger, P., Zimek, A.: Robust, complete, and efficient correlation clustering. In: Proceedings of the 2007 SIAM International Conference on Data Mining, pp. 413\u2013418. SIAM (2007)","DOI":"10.1137\/1.9781611972771.37"},{"key":"20_CR4","doi-asserted-by":"crossref","unstructured":"Achtert, E., B\u00f6hm, C., Kriegel, H.P., Zimek, A., et al.: On exploring complex relationships of correlation clusters. In: Null, p. 7. IEEE (2007)","DOI":"10.1109\/SSDBM.2007.21"},{"key":"20_CR5","unstructured":"Achtert, E., B\u00f6hm, C., Kr\u00f6ger, P., Zimek, A.: Mining hierarchies of correlation clusters. In: 18th International Conference on Scientific and Statistical Database Management, pp. 119\u2013128. IEEE (2006)"},{"key":"20_CR6","doi-asserted-by":"publisher","first-page":"52138","DOI":"10.1109\/ACCESS.2018.2870052","volume":"6","author":"A Adadi","year":"2018","unstructured":"Adadi, A., Berrada, M.: Peeking inside the black-box: a survey on explainable artificial intelligence (XAI). IEEE Access 6, 52138\u201352160 (2018)","journal-title":"IEEE Access"},{"key":"20_CR7","doi-asserted-by":"crossref","unstructured":"Aggarwal, C.C., Yu, P.S.: Finding generalized projected clusters in high dimensional spaces, vol. 29. ACM (2000)","DOI":"10.1145\/342009.335383"},{"key":"20_CR8","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"295","DOI":"10.1007\/978-3-319-99740-7_21","volume-title":"Machine Learning and Knowledge Extraction","author":"R Goebel","year":"2018","unstructured":"Goebel, R., et al.: Explainable AI: the new 42? In: Holzinger, A., Kieseberg, P., Tjoa, A.M., Weippl, E. (eds.) CD-MAKE 2018. LNCS, vol. 11015, pp. 295\u2013303. Springer, Cham (2018). https:\/\/doi.org\/10.1007\/978-3-319-99740-7_21"},{"key":"20_CR9","doi-asserted-by":"crossref","DOI":"10.1201\/9781584889977","volume-title":"Constrained Clustering: Advances in Algorithms, Theory, and Applications","author":"S Basu","year":"2008","unstructured":"Basu, S., Davidson, I., Wagstaff, K.: Constrained Clustering: Advances in Algorithms, Theory, and Applications. CRC Press, Boco Raton (2008)"},{"key":"20_CR10","doi-asserted-by":"crossref","unstructured":"B\u00f6hm, C., Kailing, K., Kr\u00f6ger, P., Zimek, A.: Computing clusters of correlation connected objects. In: Proceedings of the 2004 ACM SIGMOD International Conference on Management of Data, pp. 455\u2013466. ACM (2004)","DOI":"10.1145\/1007568.1007620"},{"key":"20_CR11","doi-asserted-by":"crossref","unstructured":"Davidson, I., Ravi, S.: Clustering with constraints: feasibility issues and the k-means algorithm. In: Proceedings of the 2005 SIAM International Conference on Data Mining, pp. 138\u2013149. SIAM (2005)","DOI":"10.1137\/1.9781611972757.13"},{"key":"20_CR12","doi-asserted-by":"crossref","unstructured":"Gondek, D., Vaithyanathan, S., Garg, A.: Clustering with model-level constraints. In: Proceedings of the 2005 SIAM International Conference on Data Mining, pp. 126\u2013137. SIAM (2005)","DOI":"10.1137\/1.9781611972757.12"},{"key":"20_CR13","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/978-3-319-99740-7_1","volume-title":"Machine Learning and Knowledge Extraction","author":"A Holzinger","year":"2018","unstructured":"Holzinger, A., Kieseberg, P., Weippl, E., Tjoa, A.M.: Current advances, trends and challenges of machine learning and knowledge extraction: from machine learning to explainable AI. In: Holzinger, A., Kieseberg, P., Tjoa, A.M., Weippl, E. (eds.) CD-MAKE 2018. LNCS, vol. 11015, pp. 1\u20138. Springer, Cham (2018). https:\/\/doi.org\/10.1007\/978-3-319-99740-7_1"},{"key":"20_CR14","unstructured":"Kazempour, D., Seidl, T.: Insights into a running clockwork: On interactive process-aware clustering. In: Proceedings of the 22nd International Conference on Extending Database Technology (EDBT) (2019, in press)"},{"issue":"4","key":"20_CR15","first-page":"351","volume":"2","author":"HP Kriegel","year":"2012","unstructured":"Kriegel, H.P., Kr\u00f6ger, P., Zimek, A.: Subspace clustering. Wiley Interdiscip. Rev.: Data Min. Knowl. Discov. 2(4), 351\u2013364 (2012)","journal-title":"Wiley Interdiscip. Rev.: Data Min. Knowl. Discov."},{"issue":"2","key":"20_CR16","doi-asserted-by":"publisher","first-page":"152","DOI":"10.1002\/zamm.19290090206","volume":"9","author":"R Mises","year":"1929","unstructured":"Mises, R., Pollaczek-Geiringer, H.: Praktische verfahren der gleichungsaufl\u00f6sung. ZAMM-J. Appl. Math. Mech.\/Zeitschrift f\u00fcr Angewandte Mathematik und Mechanik 9(2), 152\u2013164 (1929)","journal-title":"ZAMM-J. Appl. Math. Mech.\/Zeitschrift f\u00fcr Angewandte Mathematik und Mechanik"},{"issue":"2","key":"20_CR17","doi-asserted-by":"crossref","first-page":"88","DOI":"10.1080\/00031305.1994.10476030","volume":"48","author":"F Pukelsheim","year":"1994","unstructured":"Pukelsheim, F.: The three sigma rule. Am. Stat. 48(2), 88\u201391 (1994). http:\/\/www.jstor.org\/stable\/2684253","journal-title":"Am. Stat."},{"key":"20_CR18","unstructured":"Schubert, E., Zimek, A.: ELKI: a large open-source library for data analysis - ELKI release 0.7.5 \u201cheidelberg\u201d. CoRR abs\/1902.03616 (2019). http:\/\/arxiv.org\/abs\/1902.03616"},{"key":"20_CR19","unstructured":"Wagstaff, K., Cardie, C., Rogers, S., Schr\u00f6dl, S., et al.: Constrained k-means clustering with background knowledge. In: ICML, vol. 1, pp. 577\u2013584 (2001)"}],"container-title":["Lecture Notes in Computer Science","Similarity Search and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-32047-8_20","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,13]],"date-time":"2024-03-13T10:46:09Z","timestamp":1710326769000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-32047-8_20"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"ISBN":["9783030320461","9783030320478"],"references-count":19,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-32047-8_20","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2019]]},"assertion":[{"value":"23 September 2019","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"SISAP","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Similarity Search and Applications","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Newark, NJ","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"USA","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":"2 October 2019","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"4 October 2019","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"12","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"sisap2019","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.sisap.org\/2019\/","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":"42","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":"12","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":"18","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":"29% - 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":"2.88","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":"1-92","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)"}}]}}