{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T12:44:28Z","timestamp":1743079468745,"version":"3.40.3"},"publisher-location":"Cham","reference-count":10,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030008277"},{"type":"electronic","value":"9783030008284"}],"license":[{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"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":[[2018]]},"DOI":"10.1007\/978-3-030-00828-4_32","type":"book-chapter","created":{"date-parts":[[2018,9,25]],"date-time":"2018-09-25T17:19:35Z","timestamp":1537895975000},"page":"321-327","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["A Customer Segmentation Model Based on Affinity Propagation Algorithm and Improved Genetic K-Means Algorithm"],"prefix":"10.1007","author":[{"given":"Meiyang","family":"Zhang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zili","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shi","family":"Qiu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2018,9,26]]},"reference":[{"issue":"6","key":"32_CR1","doi-asserted-by":"publisher","first-page":"856","DOI":"10.7763\/IJCTE.2013.V5.811","volume":"5","author":"KR Kashwan","year":"2013","unstructured":"Kashwan, K.R., Velu, C.: Customer segmentation using clustering and data mining techniques. Int. J. Comput. Theory Eng. 5(6), 856 (2013)","journal-title":"Int. J. Comput. Theory Eng."},{"key":"32_CR2","unstructured":"Hu, G., Yu, X., Huang, Q.: SOM neural network-based mobile client segmentation study. Microcomput. Appl. (2015)"},{"issue":"3","key":"32_CR3","doi-asserted-by":"publisher","first-page":"433","DOI":"10.1109\/3477.764879","volume":"29","author":"K Krishna","year":"1999","unstructured":"Krishna, K., Murty, M.N.: Genetic K-means algorithm. IEEE Trans. Syst. Man Cybern. Part B (Cybern.) 29(3), 433\u2013439 (1999)","journal-title":"IEEE Trans. Syst. Man Cybern. Part B (Cybern.)"},{"key":"32_CR4","doi-asserted-by":"crossref","unstructured":"Girsang, A.S., Tanzil, F., Udjaja, Y.: Robust adaptive genetic K-means algorithm using greedy selection for clustering, pp. 1\u20135 (2017)","DOI":"10.1109\/KICSS.2016.7951445"},{"issue":"5814","key":"32_CR5","doi-asserted-by":"publisher","first-page":"972","DOI":"10.1126\/science.1136800","volume":"315","author":"BJ Frey","year":"2007","unstructured":"Frey, B.J., Dueck, D.: Clustering by passing messages between data points. Science 315(5814), 972\u2013976 (2007)","journal-title":"Science"},{"key":"32_CR6","unstructured":"Wang, K., Zhang, J., Li, D., Zhang, X., Guo, T.: Adaptive affinity propagation clustering. arXiv preprint arXiv:0805.1096 (2008)"},{"key":"32_CR7","first-page":"2944","volume":"30","author":"X Zeng","year":"2013","unstructured":"Zeng, X., Xu, Q., Zhang, D.: New multi-indicator customer segmentation method based on consuming data mining. Appl. Res. Comput. 30, 2944\u20132947 (2013)","journal-title":"Appl. Res. Comput."},{"issue":"2","key":"32_CR8","first-page":"274","volume":"32","author":"J Yu","year":"2002","unstructured":"Yu, J., Chen, Q.: The search range of the best clustering number in fuzzy clustering method. Sci. China Ser. E 32(2), 274\u2013280 (2002)","journal-title":"Sci. China Ser. E"},{"issue":"1","key":"32_CR9","doi-asserted-by":"publisher","first-page":"96","DOI":"10.1109\/72.265964","volume":"5","author":"G Rudolph","year":"1994","unstructured":"Rudolph, G.: Convergence analysis of canonical genetic algorithms. IEEE Trans. Neural Netw. 5(1), 96\u2013101 (1994)","journal-title":"IEEE Trans. Neural Netw."},{"issue":"3","key":"32_CR10","doi-asserted-by":"publisher","first-page":"197","DOI":"10.1057\/dbm.2012.17","volume":"19","author":"D Chen","year":"2012","unstructured":"Chen, D., Sain, S.L., Guo, K.: Data mining for the online retail industry: a case study of rfm model-based customer segmentation using data mining. J. Database Mark. Cust. Strat. Manag. 19(3), 197\u2013208 (2012)","journal-title":"J. Database Mark. Cust. Strat. Manag."}],"container-title":["IFIP Advances in Information and Communication Technology","Intelligent Information Processing IX"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-00828-4_32","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,10,10]],"date-time":"2022-10-10T00:06:14Z","timestamp":1665360374000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-00828-4_32"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018]]},"ISBN":["9783030008277","9783030008284"],"references-count":10,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-00828-4_32","relation":{},"ISSN":["1868-4238","1868-422X"],"issn-type":[{"type":"print","value":"1868-4238"},{"type":"electronic","value":"1868-422X"}],"subject":[],"published":{"date-parts":[[2018]]},"assertion":[{"value":"26 September 2018","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"IIP","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Intelligent Information Processing","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Nanning","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":"2018","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"19 October 2018","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"22 October 2018","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"10","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"iip2018","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.intsci.ac.cn\/iip2018\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"This content has been made available to all.","name":"free","label":"Free to read"}]}}