{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,5]],"date-time":"2024-09-05T15:44:57Z","timestamp":1725551097014},"publisher-location":"Berlin, Heidelberg","reference-count":10,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783642121883"},{"type":"electronic","value":"9783642121890"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2010]]},"DOI":"10.1007\/978-3-642-12189-0_31","type":"book-chapter","created":{"date-parts":[[2010,3,31]],"date-time":"2010-03-31T18:11:05Z","timestamp":1270059065000},"page":"358-369","source":"Crossref","is-referenced-by-count":6,"title":["A New Neural Network Based Customer Profiling Methodology for Churn Prediction"],"prefix":"10.1007","author":[{"given":"Ashutosh","family":"Tiwari","sequence":"first","affiliation":[]},{"given":"John","family":"Hadden","sequence":"additional","affiliation":[]},{"given":"Chris","family":"Turner","sequence":"additional","affiliation":[]}],"member":"297","reference":[{"issue":"3-4","key":"31_CR1","doi-asserted-by":"publisher","first-page":"182","DOI":"10.1016\/j.telpol.2007.09.004","volume":"32","author":"D. Seo","year":"2008","unstructured":"Seo, D., Ranganathan, C., Babad, Y.: Two-Level Model of Customer Retention in the US Mobile Telecommunications Service Market. Telecommunications Policy\u00a032(3-4), 182\u2013196 (2008)","journal-title":"Telecommunications Policy"},{"key":"31_CR2","doi-asserted-by":"publisher","first-page":"515","DOI":"10.1016\/j.eswa.2005.09.080","volume":"31","author":"S. Hung","year":"2006","unstructured":"Hung, S., Yen, D.C., Wang, H.: Applying Data Mining to Telecom Churn Management. Expert Systems with Applications\u00a031, 515\u2013524 (2006)","journal-title":"Expert Systems with Applications"},{"key":"31_CR3","doi-asserted-by":"publisher","first-page":"313","DOI":"10.1016\/j.eswa.2006.09.038","volume":"34","author":"K. Coussement","year":"2008","unstructured":"Coussement, K., Van Den Poel, D.: Churn Prediction in Subscription Services: An Application of Support Vector Machines While Comparing Two Parameter-Selection Techniques. Expert Systems with Applications\u00a034, 313\u2013327 (2008)","journal-title":"Expert Systems with Applications"},{"key":"31_CR4","doi-asserted-by":"crossref","first-page":"117","DOI":"10.1016\/S0167-8116(03)00014-4","volume":"20","author":"J. Bloemer","year":"2002","unstructured":"Bloemer, J., et al.: Comparing Complete and Partial Classification for Identifying Customers at Risk. International Journal of Research in Marketing\u00a020, 117\u2013131 (2002)","journal-title":"International Journal of Research in Marketing"},{"key":"31_CR5","doi-asserted-by":"publisher","first-page":"97","DOI":"10.1016\/j.enggeo.2008.01.004","volume":"97","author":"H.A. Nefeslioglu","year":"2008","unstructured":"Nefeslioglu, H.A., Gokceoglu, C., Sonmez, H.: An Assessment on the Use of Logistic Regression and Artificial Neural Networks With Different Sampling Strategies for the Preparation of Landslide Susceptibility Maps. Engineering Geology\u00a097, 97\u2013171 (2008)","journal-title":"Engineering Geology"},{"key":"31_CR6","doi-asserted-by":"publisher","first-page":"347","DOI":"10.1016\/S0377-2217(00)00036-9","volume":"130","author":"G. Mihelis","year":"2001","unstructured":"Mihelis, G., et al.: Customer Satisfaction Measurement in the Private Bank Sector. European Journal of Operational Research\u00a0130, 347\u2013360 (2001)","journal-title":"European Journal of Operational Research"},{"key":"31_CR7","doi-asserted-by":"publisher","first-page":"483","DOI":"10.1016\/S0160-791X(02)00038-6","volume":"24","author":"C. Rygielski","year":"2002","unstructured":"Rygielski, C., Wang, C.J., Yen, D.C.: Data Mining Techniques for Customer Relationship Management. Technology in Society\u00a024, 483\u2013502 (2002)","journal-title":"Technology in Society"},{"key":"31_CR8","unstructured":"Hadden, J.: A Customer Profiling Methodology for Churn Prediction. PhD Thesis, Cranfield University, UK (2008)"},{"key":"31_CR9","doi-asserted-by":"publisher","first-page":"47","DOI":"10.1023\/B:APIN.0000047383.53680.b6","volume":"22","author":"X. Hu","year":"2005","unstructured":"Hu, X.: A Data Mining Approach for Retailing Bank Customer Attrition Analysis. Applied Intelligence\u00a022, 47\u201360 (2005)","journal-title":"Applied Intelligence"},{"key":"31_CR10","doi-asserted-by":"publisher","first-page":"181","DOI":"10.1016\/S0957-4174(03)00133-7","volume":"26","author":"H. Hwang","year":"2004","unstructured":"Hwang, H., Jung, T., Suh, E.: An LTV Model and Customer Segmentation Based on Customer Value: A Case Study on the Wireless Telecommunications Industry. Expert systems with applications\u00a026, 181\u2013188 (2004)","journal-title":"Expert systems with applications"}],"container-title":["Lecture Notes in Computer Science","Computational Science and Its Applications \u2013 ICCSA 2010"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-642-12189-0_31.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,4,30]],"date-time":"2021-04-30T08:04:36Z","timestamp":1619769876000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-642-12189-0_31"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2010]]},"ISBN":["9783642121883","9783642121890"],"references-count":10,"URL":"https:\/\/doi.org\/10.1007\/978-3-642-12189-0_31","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2010]]}}}