{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,25]],"date-time":"2025-03-25T14:52:20Z","timestamp":1742914340575,"version":"3.40.3"},"publisher-location":"Cham","reference-count":25,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030336066"},{"type":"electronic","value":"9783030336073"}],"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\/978-3-030-33607-3_54","type":"book-chapter","created":{"date-parts":[[2019,11,7]],"date-time":"2019-11-07T00:05:28Z","timestamp":1573085128000},"page":"502-513","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Meta-learning Based Evolutionary Clustering Algorithm"],"prefix":"10.1007","author":[{"given":"Dmitry","family":"Tomp","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sergey","family":"Muravyov","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Andrey","family":"Filchenkov","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Vladimir","family":"Parfenov","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2019,10,18]]},"reference":[{"key":"54_CR1","doi-asserted-by":"publisher","first-page":"296","DOI":"10.1109\/TEVC.2005.859371","volume":"10","author":"PC Ma","year":"2006","unstructured":"Ma, P.C., Chan, K.C., Yao, X., Chiu, D.K.: An evolutionary clustering algorithm for gene expression microarray data analysis. Trans. Evol. Comp. 10, 296\u2013314 (2006)","journal-title":"Trans. Evol. Comp."},{"issue":"2","key":"54_CR2","doi-asserted-by":"publisher","first-page":"134","DOI":"10.1177\/002224378302000204","volume":"20","author":"G Punj","year":"1983","unstructured":"Punj, G., Stewart, D.W.: Cluster analysis in marketing research: review and suggestions for application. J. Mark. Res. 20(2), 134\u2013148 (1983)","journal-title":"J. Mark. Res."},{"key":"54_CR3","doi-asserted-by":"crossref","unstructured":"Farseev, A., Samborskii, I., Filchenkov, A., Chua, T.-S.: Cross-domain recommendation via clustering on multi-layer graphs. In: Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 195\u2013204. ACM (2017)","DOI":"10.1145\/3077136.3080774"},{"key":"54_CR4","unstructured":"Kleinberg, J.: An impossibility theorem for clustering. In: Proceedings of the 15th International Conference on Neural Information Processing Systems, NIPS 2002, pp. 463\u2013470. MIT Press, Cambridge (2002)"},{"key":"54_CR5","first-page":"2825","volume":"12","author":"F Pedregosa","year":"2011","unstructured":"Pedregosa, F., et al.: Scikit-learn: machine learning in Python. J. Mach. Learn. Res. 12, 2825\u20132830 (2011)","journal-title":"J. Mach. Learn. Res."},{"issue":"1","key":"54_CR6","doi-asserted-by":"publisher","first-page":"10","DOI":"10.1145\/1656274.1656278","volume":"11","author":"M Hall","year":"2009","unstructured":"Hall, M., Frank, E., Holmes, G., Pfahringer, B., Reutemann, P., Witten, I.H.: The weka data mining software: an update. ACM SIGKDD Explor. Newsl. 11(1), 10\u201318 (2009)","journal-title":"ACM SIGKDD Explor. Newsl."},{"key":"54_CR7","doi-asserted-by":"publisher","first-page":"53","DOI":"10.1016\/0377-0427(87)90125-7","volume":"20","author":"PJ Rousseeuw","year":"1987","unstructured":"Rousseeuw, P.J.: Silhouettes: a graphical aid to the interpretation and validation of cluster analysis. J. Comput. Appl. Math. 20, 53\u201365 (1987)","journal-title":"J. Comput. Appl. Math."},{"key":"54_CR8","doi-asserted-by":"publisher","first-page":"224","DOI":"10.1109\/TPAMI.1979.4766909","volume":"2","author":"DL Davies","year":"1979","unstructured":"Davies, D.L., Bouldin, D.W.: A cluster separation measure. IEEE Trans. Pattern Anal. Mach. Intell. 2, 224\u2013227 (1979)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"issue":"1","key":"54_CR9","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1080\/03610927408827101","volume":"3","author":"T Cali\u0144ski","year":"1974","unstructured":"Cali\u0144ski, T., Harabasz, J.: A dendrite method for cluster analysis. Commun. Stat.-Theory Methods 3(1), 1\u201327 (1974)","journal-title":"Commun. Stat.-Theory Methods"},{"key":"54_CR10","doi-asserted-by":"crossref","unstructured":"Moulavi, D., Jaskowiak, P.A., Campello, R.J.G.B., Zimek, A., Sander, J.: Density-based clustering validation, April 2014","DOI":"10.1137\/1.9781611973440.96"},{"key":"54_CR11","doi-asserted-by":"publisher","first-page":"243","DOI":"10.1016\/j.patcog.2012.07.021","volume":"46","author":"O Arbelaitz","year":"2013","unstructured":"Arbelaitz, O., Gurrutxaga, I., Muguerza, J., P\u00e9Rez, J.M., Perona, I.N.: An extensive comparative study of cluster validity indices. Pattern Recogn. 46, 243\u2013256 (2013)","journal-title":"Pattern Recogn."},{"key":"54_CR12","doi-asserted-by":"publisher","first-page":"133","DOI":"10.1109\/TSMCC.2008.2007252","volume":"39","author":"ER Hruschka","year":"2009","unstructured":"Hruschka, E.R., Campello, R.J.G.B., Freitas, A.A., De Carvalho, A.C.P.L.F.: A survey of evolutionary algorithms for clustering. Trans. Syst. Man Cyber. Part C 39, 133\u2013155 (2009)","journal-title":"Trans. Syst. Man Cyber. Part C"},{"key":"54_CR13","doi-asserted-by":"publisher","first-page":"181","DOI":"10.1016\/j.ins.2014.12.044","volume":"301","author":"DG Ferrari","year":"2015","unstructured":"Ferrari, D.G., de Castro, L.N.: Clustering algorithm selection by meta-learning systems. Inf. Sci. 301, 181\u2013194 (2015)","journal-title":"Inf. Sci."},{"key":"54_CR14","unstructured":"Muravyov, S., Filchenkov, S.: Meta-learning system for automated clustering. In: AutoML@ PKDD\/ECML, pp. 99\u2013101 (2017)"},{"key":"54_CR15","first-page":"11","volume":"10","author":"V Shalamov","year":"2017","unstructured":"Shalamov, V., Filchenkov, A., Shalyto, A.: Heuristic and metaheuristic solutions of pickup and delivery problem for self-driving taxi routing. Evol. Syst. 10, 11 (2017)","journal-title":"Evol. Syst."},{"key":"54_CR16","unstructured":"Cole, R.: Clustering with genetic algorithms. Ph.D. thesis (1998)"},{"key":"54_CR17","doi-asserted-by":"publisher","first-page":"15","DOI":"10.3233\/IDA-2003-7103","volume":"7","author":"ER Hruschka","year":"2003","unstructured":"Hruschka, E.R., Ebecken, N.F.F.: A genetic algorithm for cluster analysis. Intell. Data Anal. 7, 15\u201325 (2003)","journal-title":"Intell. Data Anal."},{"key":"54_CR18","doi-asserted-by":"publisher","first-page":"301","DOI":"10.1109\/3477.678624","volume":"28","author":"JC Bezdek","year":"1998","unstructured":"Bezdek, J.C., Pal, N.R.: Some new indexes of cluster validity. Trans. Sys. Man Cyber. Part B 28, 301\u2013315 (1998)","journal-title":"Trans. Sys. Man Cyber. Part B"},{"key":"54_CR19","doi-asserted-by":"publisher","first-page":"56","DOI":"10.1109\/TEVC.2006.877146","volume":"11","author":"J Handl","year":"2007","unstructured":"Handl, J., Knowles, J.: An evolutionary approach to multiobjective clustering. Trans. Evol. Comp 11, 56\u201376 (2007)","journal-title":"Trans. Evol. Comp"},{"key":"54_CR20","doi-asserted-by":"publisher","first-page":"87","DOI":"10.13164\/mendel.2019.1.087","volume":"25","author":"S Muravyov","year":"2019","unstructured":"Muravyov, S., Antipov, D., Buzdalova, A., Filchenkov, A.: Efficient computation of fitness function for evolutionary clustering. MENDEL 25, 87\u201394 (2019)","journal-title":"MENDEL"},{"key":"54_CR21","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-96514-7","volume-title":"Hyper-Heuristics: Theory and Applications","author":"N Pillay","year":"2018","unstructured":"Pillay, N., Qu, R.: Hyper-Heuristics: Theory and Applications. Springer, Switzerland (2018). https:\/\/doi.org\/10.1007\/978-3-319-96514-7"},{"key":"54_CR22","doi-asserted-by":"crossref","unstructured":"Woodward, J.R., Swan, J.: The automatic generation of mutation operators for genetic algorithms. In: Proceedings of the 14th Annual Conference Companion on Genetic and Evolutionary Computation, pp. 67\u201374. ACM (2012)","DOI":"10.1145\/2330784.2330796"},{"issue":"2","key":"54_CR23","doi-asserted-by":"publisher","first-page":"49","DOI":"10.1145\/2641190.2641198","volume":"15","author":"J Vanschoren","year":"2013","unstructured":"Vanschoren, J., van Rijn, J.N., Bischl, B., Torgo, L.: Openml: networked science in machine learning. SIGKDD Explor. 15(2), 49\u201360 (2013)","journal-title":"SIGKDD Explor."},{"key":"54_CR24","doi-asserted-by":"publisher","first-page":"144","DOI":"10.1016\/j.procs.2018.08.247","volume":"136","author":"V Shalamov","year":"2018","unstructured":"Shalamov, V., Efimova, V., Muravyov, S., Filchenkov, A.: Reinforcement-based method for simultaneous clustering algorithm selection and its hyperparameters optimization. Procedia Comput. Sci. 136, 144\u2013153 (2018)","journal-title":"Procedia Comput. Sci."},{"key":"54_CR25","doi-asserted-by":"crossref","unstructured":"Hutter, F., Hoos, H., Leyton-Brown, H.: An evaluation of sequential model-based optimization for expensive blackbox functions. In: Proceedings of the 15th Annual Conference Companion on Genetic and Evolutionary Computation, pp. 1209\u20131216. ACM (2013)","DOI":"10.1145\/2464576.2501592"}],"container-title":["Lecture Notes in Computer Science","Intelligent Data Engineering and Automated Learning \u2013 IDEAL 2019"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-33607-3_54","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,12]],"date-time":"2024-03-12T14:00:10Z","timestamp":1710252010000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-33607-3_54"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"ISBN":["9783030336066","9783030336073"],"references-count":25,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-33607-3_54","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":"18 October 2019","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"IDEAL","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Intelligent Data Engineering and Automated Learning","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Manchester","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"United Kingdom","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 November 2019","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"16 November 2019","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"20","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"ideal2019","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.confercare.manchester.ac.uk\/events\/ideal2019\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Open","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":"149","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":"94","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":"63% - 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":"2.5","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)"}}]}}