{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:13:13Z","timestamp":1750219993998,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":16,"publisher":"ACM","license":[{"start":{"date-parts":[[2022,10,21]],"date-time":"2022-10-21T00:00:00Z","timestamp":1666310400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2022,10,21]]},"DOI":"10.1145\/3569966.3570085","type":"proceedings-article","created":{"date-parts":[[2022,12,20]],"date-time":"2022-12-20T22:24:41Z","timestamp":1671575081000},"page":"436-440","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["A travel customer segmentation method based on improved RFM and k-means++"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8420-7070","authenticated-orcid":false,"given":"Shaodong","family":"Huang","sequence":"first","affiliation":[{"name":"School of Electronic and Information Engineering, Guangxi Normal University, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7348-901X","authenticated-orcid":false,"given":"Sheng","family":"Qin","sequence":"additional","affiliation":[{"name":"School of Electronic and Information Engineering, Guangxi Normal University, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7264-5479","authenticated-orcid":false,"given":"Xiaoxiao","family":"Jiang","sequence":"additional","affiliation":[{"name":"Department of Asset Management, Guangxi Normal University, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5087-8861","authenticated-orcid":false,"given":"Yi","family":"Cao","sequence":"additional","affiliation":[{"name":"Management Science and Business Economics Group, University of Edinburgh, UK"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2022,12,20]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2021.116373"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jretconser.2021.102566"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"crossref","unstructured":"Charu\u00a0C. Aggarwal Jiawei Han Jianyong Wang and Philip\u00a0S. Yu. 2003. A framework for clustering evolving data streams. In VLDB. 81\u201392.  Charu\u00a0C. Aggarwal Jiawei Han Jianyong Wang and Philip\u00a0S. Yu. 2003. A framework for clustering evolving data streams. In VLDB. 81\u201392.","DOI":"10.1016\/B978-012722442-8\/50016-1"},{"key":"e_1_3_2_1_4_1","volume-title":"Proceedings of the 18th Annual ACM-SIAM Symposium on Discrete Algorithms. 1027\u20131035","author":"Arthur David","year":"2007","unstructured":"David Arthur and Sergei Vassilvitskii . 2007 . K-means++: the advantages of careful seeding . In Proceedings of the 18th Annual ACM-SIAM Symposium on Discrete Algorithms. 1027\u20131035 . David Arthur and Sergei Vassilvitskii. 2007. K-means++: the advantages of careful seeding. In Proceedings of the 18th Annual ACM-SIAM Symposium on Discrete Algorithms. 1027\u20131035."},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"crossref","unstructured":"Matthias Carnein and Heike Trautmann. 2019. Customer segmentation based on transactional data using stream clustering. In PAKDD. 280\u2013292.  Matthias Carnein and Heike Trautmann. 2019. Customer segmentation based on transactional data using stream clustering. In PAKDD. 280\u2013292.","DOI":"10.1007\/978-3-030-16148-4_22"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2017.2763620"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2008.04.003"},{"key":"e_1_3_2_1_8_1","volume-title":"Automated Variable Weighting in k -Means Type Clustering. 27, 5","author":"Huang Joshua\u00a0Zhexue","year":"2005","unstructured":"Joshua\u00a0Zhexue Huang , Michael\u00a0 K Ng , Hongqiang Rong , and Zichen Li. 2005. Automated Variable Weighting in k -Means Type Clustering. 27, 5 ( 2005 ), 657\u2013668. Joshua\u00a0Zhexue Huang, Michael\u00a0K Ng, Hongqiang Rong, and Zichen Li. 2005. Automated Variable Weighting in k -Means Type Clustering. 27, 5 (2005), 657\u2013668."},{"key":"e_1_3_2_1_9_1","first-page":"100","article-title":"A k-means clustering algorithm","volume":"28","author":"Hartigan J. A.","year":"2012","unstructured":"J. A. Hartigan and M. A. Wong . 2012 . A k-means clustering algorithm . Journal of the Royal Statistical Society Series B Methodological 28 , 1(2012), 100 \u2013 108 . J. A. Hartigan and M. A. Wong. 2012. A k-means clustering algorithm. Journal of the Royal Statistical Society Series B Methodological 28, 1(2012), 100\u2013108.","journal-title":"Journal of the Royal Statistical Society Series B Methodological"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1016\/S0305-0548(01)00043-0"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2016.04.017"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2021.107924"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1145\/2522968.2522981"},{"key":"e_1_3_2_1_14_1","volume-title":"A purchase-based market segmentation methodology. Expert systems with applications 27, 2","author":"Tsai C","year":"2004","unstructured":"C Tsai and C Chiu . 2004. A purchase-based market segmentation methodology. Expert systems with applications 27, 2 ( 2004 ), 265\u2013276. C Tsai and C Chiu. 2004. A purchase-based market segmentation methodology. Expert systems with applications 27, 2 (2004), 265\u2013276."},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1111\/exsy.12056"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10618-011-0221-2"}],"event":{"name":"CSSE 2022: 2022 5th International Conference on Computer Science and Software Engineering","acronym":"CSSE 2022","location":"Guilin China"},"container-title":["Proceedings of the 5th International Conference on Computer Science and Software Engineering"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3569966.3570085","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3569966.3570085","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T17:49:37Z","timestamp":1750182577000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3569966.3570085"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,10,21]]},"references-count":16,"alternative-id":["10.1145\/3569966.3570085","10.1145\/3569966"],"URL":"https:\/\/doi.org\/10.1145\/3569966.3570085","relation":{},"subject":[],"published":{"date-parts":[[2022,10,21]]},"assertion":[{"value":"2022-12-20","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}