{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T04:34:20Z","timestamp":1750307660743,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":26,"publisher":"ACM","license":[{"start":{"date-parts":[[2009,3,8]],"date-time":"2009-03-08T00:00:00Z","timestamp":1236470400000},"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":[[2009,3,8]]},"DOI":"10.1145\/1529282.1529643","type":"proceedings-article","created":{"date-parts":[[2009,4,15]],"date-time":"2009-04-15T13:37:11Z","timestamp":1239802631000},"page":"1610-1614","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":3,"title":["Privacy preserving churn prediction"],"prefix":"10.1145","author":[{"given":"Shuting","family":"Xu","sequence":"first","affiliation":[{"name":"Virginia State University, Petersburg, VA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shuhua","family":"Lai","sequence":"additional","affiliation":[{"name":"Virginia State University, Petersburg, VA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Manying","family":"Qiu","sequence":"additional","affiliation":[{"name":"Virginia State University, Petersburg, VA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2009,3,8]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1145\/375551.375602"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1145\/342009.335438"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2003.819264"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"crossref","unstructured":"Burez J. &amp; Poel D. (2008). Handling class imbalance in customer churn prediction. Ghent University Faculty of Economics and Business Administration.  Burez J. &amp; Poel D. (2008). Handling class imbalance in customer churn prediction . Ghent University Faculty of Economics and Business Administration.","DOI":"10.1016\/j.eswa.2008.05.027"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2005.121"},{"volume-title":"Proceedings of the 7th SIAM International Conference on Data Ming","year":"2007","author":"Chen K.","key":"e_1_3_2_1_6_1"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1145\/1353343.1353424"},{"key":"e_1_3_2_1_8_1","unstructured":"Domingo-Ferrer J. &amp; Mateo-Sanz J. M. (2001). An empirical comparison of SDC methods for continuous microdata in terms of information loss and disclosure risk. Second Eurostat-UN\/ECE Joint Work Session on Statistical Data Confidentiality. Skopje Macedonia.  Domingo-Ferrer J. &amp; Mateo-Sanz J. M. (2001). An empirical comparison of SDC methods for continuous microdata in terms of information loss and disclosure risk. Second Eurostat-UN\/ECE Joint Work Session on Statistical Data Confidentiality . Skopje Macedonia."},{"issue":"2","key":"e_1_3_2_1_9_1","first-page":"104","article-title":"Churn prediction: Does technology matter","volume":"1","author":"Hadden J.","year":"2006","journal-title":"International Journal of Intelligent Systems and Technologies"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.cor.2005.11.007"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"crossref","unstructured":"Jamal Z. &amp; Bucklin R. E. (2006). Improving the diagnosis and prediction of customer churn: A heterogeneous hazard modeling approach. JOURNAL OF INTERACTIVE MARKETING 20 (3--4) 16--29.  Jamal Z. &amp; Bucklin R. E. (2006). Improving the diagnosis and prediction of customer churn: A heterogeneous hazard modeling approach. JOURNAL OF INTERACTIVE MARKETING 20 (3--4) 16--29.","DOI":"10.1002\/dir.20064"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.5555\/951949.952160"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1145\/1167350.1167419"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2006.14"},{"volume-title":"Proceedings of the First International Conference on Knowledge Discovery and Data Mining, (pp. 186--191)","year":"1995","author":"Klosgen W.","key":"e_1_3_2_1_15_1"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1108\/10662240110410183"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1109\/72.846740"},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00778-006-0010-5"},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1145\/331983.331986"},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1509\/jmkr.43.2.204"},{"key":"e_1_3_2_1_22_1","first-page":"304","volume-title":"Proc. of the 18th Brazilian Symposium on Databases (SBBD","author":"Oliveira S. R.","year":"2003"},{"key":"e_1_3_2_1_23_1","unstructured":"Reuters. (2002). Retrieved from http:\/\/news.com.com\/2100-1033-276151.html?legacy=cnet  Reuters. (2002). Retrieved from http:\/\/news.com.com\/2100-1033-276151.html?legacy=cnet"},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1142\/S0218488502001648"},{"key":"e_1_3_2_1_25_1","unstructured":"Vapnik V. N. (1998). Statistical Learning Theory. New York: John Wiley &amp; Sons.  Vapnik V. N. (1998). Statistical Learning Theory . New York: John Wiley &amp; Sons."},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.1109\/ISI.2007.379475"},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10115-006-0001-2"}],"event":{"name":"SAC09: The 2009 ACM Symposium on Applied Computing","sponsor":["SIGAPP ACM Special Interest Group on Applied Computing"],"location":"Honolulu Hawaii","acronym":"SAC09"},"container-title":["Proceedings of the 2009 ACM symposium on Applied Computing"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/1529282.1529643","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/1529282.1529643","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T13:29:29Z","timestamp":1750253369000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/1529282.1529643"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2009,3,8]]},"references-count":26,"alternative-id":["10.1145\/1529282.1529643","10.1145\/1529282"],"URL":"https:\/\/doi.org\/10.1145\/1529282.1529643","relation":{},"subject":[],"published":{"date-parts":[[2009,3,8]]},"assertion":[{"value":"2009-03-08","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}