{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,5,29]],"date-time":"2025-05-29T04:01:18Z","timestamp":1748491278595,"version":"3.41.0"},"publisher-location":"Cham","reference-count":19,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319190839"},{"type":"electronic","value":"9783319190846"}],"license":[{"start":{"date-parts":[[2015,1,1]],"date-time":"2015-01-01T00:00:00Z","timestamp":1420070400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2015,1,1]],"date-time":"2015-01-01T00:00:00Z","timestamp":1420070400000},"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":[[2015]]},"DOI":"10.1007\/978-3-319-19084-6_30","type":"book-chapter","created":{"date-parts":[[2015,5,28]],"date-time":"2015-05-28T14:43:01Z","timestamp":1432824181000},"page":"293-305","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["$$MO-Mine_{clust}$$: A Framework for Multi-objective Clustering"],"prefix":"10.1007","author":[{"given":"Benjamin","family":"Fisset","sequence":"first","affiliation":[]},{"given":"Clarisse","family":"Dhaenens","sequence":"additional","affiliation":[]},{"given":"Laetitia","family":"Jourdan","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2015,5,29]]},"reference":[{"issue":"21","key":"30_CR1","doi-asserted-by":"publisher","first-page":"2859","DOI":"10.1093\/bioinformatics\/btm418","volume":"23","author":"S Bandyopadhyay","year":"2007","unstructured":"Bandyopadhyay, S., Mukhopadhyay, A., Maulik, U.: An improved algorithm for clustering gene expression data. Bioinformatics 23(21), 2859\u20132865 (2007)","journal-title":"Bioinformatics"},{"key":"30_CR2","unstructured":"Corne, D., Jerram, N.R., Knowles, J., Oates, M.J.: Pesa-II: region-based selection in evolutionary multiobjective optimization. In: Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2001), pp. 283\u2013290. Morgan Kaufmann Publishers (2001)"},{"issue":"2","key":"30_CR3","doi-asserted-by":"crossref","first-page":"182","DOI":"10.1109\/4235.996017","volume":"6","author":"K Deb","year":"2002","unstructured":"Deb, K., Pratap, A., Agarwal, S., Meyarivan, T.: A fast and elitist multiobjective genetic algorithm: NSGA-II. IEEE Trans. Evol. Comput. 6(2), 182\u2013197 (2002). Cited by(since 1996)7480","journal-title":"IEEE Trans. Evol. Comput."},{"key":"30_CR4","unstructured":"Piquer, \u00c1.G.: Facing-up challenges of multiobjective clustering based on evolutionary algorithms: representations, scalability and retrieval solutions. Ph.D. thesis, Universitat Ramon Llull (2012)"},{"key":"30_CR5","doi-asserted-by":"crossref","unstructured":"Garcia-Piquer, A., Fornells, A., Bacardit, J., Orriols-Puig, A., Golobardes, E.: Large-scale experimental evaluation of cluster representations for multiobjective evolutionary clustering, pp. 36\u201353 (2014)","DOI":"10.1109\/TEVC.2013.2281513"},{"issue":"15","key":"30_CR6","doi-asserted-by":"crossref","first-page":"4050","DOI":"10.1016\/j.physa.2012.03.021","volume":"391","author":"M Gong","year":"2012","unstructured":"Gong, M., Ma, L., Zhang, Q., Jiao, L.: Community detection in networks by using multiobjective evolutionary algorithm with decomposition. Physica A Stat. Mech. Appl. 391(15), 4050\u20134060 (2012)","journal-title":"Physica A Stat. Mech. Appl."},{"key":"30_CR7","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"32","DOI":"10.1007\/978-3-642-32964-7_4","volume-title":"Parallel Problem Solving from Nature - PPSN XII","author":"J Handl","year":"2012","unstructured":"Handl, J., Knowles, J.: Clustering criteria in multiobjective data clustering. In: Coello, C.A.C., Cutello, V., Deb, K., Forrest, S., Nicosia, G., Pavone, M. (eds.) PPSN 2012, Part II. LNCS, vol. 7492, pp. 32\u201341. Springer, Heidelberg (2012)"},{"issue":"1","key":"30_CR8","doi-asserted-by":"crossref","first-page":"56","DOI":"10.1109\/TEVC.2006.877146","volume":"11","author":"J Handl","year":"2007","unstructured":"Handl, J., Knowles, J.D.: An evolutionary approach to multiobjective clustering. IEEE Trans. Evol. Comput. 11(1), 56\u201376 (2007)","journal-title":"IEEE Trans. Evol. Comput."},{"key":"30_CR9","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"1081","DOI":"10.1007\/978-3-540-30217-9_109","volume-title":"Parallel Problem Solving from Nature - PPSN VIII","author":"J Handl","year":"2004","unstructured":"Handl, J., Knowles, J.D.: Evolutionary multiobjective clustering. In: Yao, X., et al. (eds.) PPSN 2004. LNCS, vol. 3242, pp. 1081\u20131091. Springer, Heidelberg (2004)"},{"issue":"2","key":"30_CR10","doi-asserted-by":"crossref","first-page":"104","DOI":"10.1016\/j.ejor.2010.07.023","volume":"209","author":"A Liefooghe","year":"2011","unstructured":"Liefooghe, A., Jourdan, L., Talbi, E.-G.: A software framework based on a conceptual unified model for evolutionary multiobjective optimization: paradiseo-moeo. Eur. J. Oper. Res. 209(2), 104\u2013112 (2011)","journal-title":"Eur. J. Oper. Res."},{"key":"30_CR11","doi-asserted-by":"crossref","unstructured":"L\u00f3pez-Ib\u00e1nez, M., Dubois-Lacoste, J., St\u00fctzle, T., Birattari, M.: The Irace package: iterated racing for automatic algorithm configuration. Technical report TR\/IRIDIA\/2011-004, IRIDIA, Universit\u00e9 Libre de Bruxelles, Brussels, Belgium, January 2011","DOI":"10.32614\/CRAN.package.irace"},{"key":"30_CR12","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-16615-0","volume-title":"Multiobjective Genetic Algorithms for Clustering: Applications in Data Mining and Bioinformatics","author":"U Maulik","year":"2011","unstructured":"Maulik, U., Bandyopadhyay, S., Mukhopadhyay, A.: Multiobjective Genetic Algorithms for Clustering: Applications in Data Mining and Bioinformatics. Springer, Berlin (2011). ISBN 978-3-642-16614-3"},{"issue":"1","key":"30_CR13","doi-asserted-by":"crossref","first-page":"872","DOI":"10.1016\/j.asoc.2010.01.007","volume":"11","author":"A Mukhopadhyay","year":"2011","unstructured":"Mukhopadhyay, A., Maulik, U.: A multiobjective approach to MR brain image segmentation. Appl. Soft Comput. 11(1), 872\u2013880 (2011)","journal-title":"Appl. Soft Comput."},{"issue":"5","key":"30_CR14","doi-asserted-by":"crossref","first-page":"991","DOI":"10.1109\/TEVC.2009.2012163","volume":"13","author":"A Mukhopadhyay","year":"2009","unstructured":"Mukhopadhyay, A., Maulik, U., Bandyopadhyay, S.: Multiobjective genetic algorithm-based fuzzy clustering of categorical attributes. IEEE Trans. Evol. Comput. 13(5), 991\u20131005 (2009)","journal-title":"IEEE Trans. Evol. Comput."},{"issue":"1","key":"30_CR15","doi-asserted-by":"crossref","first-page":"20","DOI":"10.1109\/TEVC.2013.2290082","volume":"18","author":"A Mukhopadhyay","year":"2014","unstructured":"Mukhopadhyay, A., Maulik, U., Bandyopadhyay, S., Coello Coello, A.: Survey of multiobjective evolutionary algorithms for data mining: part II. IEEE Trans. Evol. Comput. 18(1), 20\u201335 (2014)","journal-title":"IEEE Trans. Evol. Comput."},{"issue":"2","key":"30_CR16","doi-asserted-by":"crossref","first-page":"2765","DOI":"10.1016\/j.asoc.2010.11.007","volume":"11","author":"I Saha","year":"2011","unstructured":"Saha, I., Maulik, U., Plewczynski, D.: A new multi-objective technique for differential fuzzy clustering: the impact of soft computing for the progress of artificial intelligence. Appl. Soft Comput. 11(2), 2765\u20132776 (2011)","journal-title":"Appl. Soft Comput."},{"issue":"3","key":"30_CR17","first-page":"283","volume":"41","author":"H Cao","year":"2012","unstructured":"Cao, H., Zheng, Y., Jia, L.: Multi-objective gene expression programming for clustering. Inf. Technol. Control 41(3), 283\u2013294 (2012)","journal-title":"Inf. Technol. Control"},{"key":"30_CR18","doi-asserted-by":"crossref","unstructured":"Zhu, L., Cao, L., Yang, J.: Multiobjective evolutionary algorithm-based soft subspace clustering. In: IEEE Congress on Evolutionary Computation, pp. 1\u20138. IEEE (2012)","DOI":"10.1109\/CEC.2012.6252896"},{"key":"30_CR19","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"832","DOI":"10.1007\/978-3-540-30217-9_84","volume-title":"Parallel Problem Solving from Nature - PPSN VIII","author":"E Zitzler","year":"2004","unstructured":"Zitzler, E., K\u00fcnzli, S.: Indicator-based selection in multiobjective search. In: Yao, X., et al. (eds.) PPSN 2004. LNCS, vol. 3242, pp. 832\u2013842. Springer, Heidelberg (2004)"}],"container-title":["Lecture Notes in Computer Science","Learning and Intelligent Optimization"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-19084-6_30","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,5,28]],"date-time":"2025-05-28T03:57:27Z","timestamp":1748404647000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-319-19084-6_30"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015]]},"ISBN":["9783319190839","9783319190846"],"references-count":19,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-19084-6_30","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2015]]},"assertion":[{"value":"29 May 2015","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}}]}}