{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T13:00:33Z","timestamp":1743080433102,"version":"3.40.3"},"publisher-location":"Singapore","reference-count":15,"publisher":"Springer Nature Singapore","isbn-type":[{"type":"print","value":"9789811026621"},{"type":"electronic","value":"9789811026638"}],"license":[{"start":{"date-parts":[[2016,1,1]],"date-time":"2016-01-01T00:00:00Z","timestamp":1451606400000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2016]]},"DOI":"10.1007\/978-981-10-2663-8_58","type":"book-chapter","created":{"date-parts":[[2016,11,29]],"date-time":"2016-11-29T22:15:31Z","timestamp":1480457731000},"page":"568-576","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["A Feature Extraction Method Based on Stacked Auto-Encoder for Telecom Churn Prediction"],"prefix":"10.1007","author":[{"given":"Ruiqi","family":"Li","sequence":"first","affiliation":[]},{"given":"Peng","family":"Wang","sequence":"additional","affiliation":[]},{"given":"Zonghai","family":"Chen","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2016,9,22]]},"reference":[{"key":"58_CR1","doi-asserted-by":"publisher","first-page":"12547","DOI":"10.1016\/j.eswa.2009.05.032","volume":"36","author":"CF Tsai","year":"2009","unstructured":"Tsai, C.F., Lu, Y.H.: Customer churn prediction by hybrid neural networks. J. Expert Syst. Appl. 36, 12547\u201312553 (2009)","journal-title":"J. Expert Syst. Appl."},{"key":"58_CR2","doi-asserted-by":"publisher","first-page":"247","DOI":"10.1007\/s10479-008-0400-8","volume":"168","author":"J Qi","year":"2009","unstructured":"Qi, J., Zhang, L., Liu, Y., et al.: ADTreesLogit model for customer churn prediction. J. Ann. Oper. Res. 168, 247\u2013265 (2009)","journal-title":"J. Ann. Oper. Res."},{"key":"58_CR3","doi-asserted-by":"publisher","first-page":"7151","DOI":"10.1016\/j.eswa.2010.12.045","volume":"38","author":"P Kisioglu","year":"2011","unstructured":"Kisioglu, P., Topcu, Y.I.: Applying bayesian belief network approach to customer churn analysis: a case study on the telecom industry of Turkey. J. Expert Syst. Appl. 38, 7151\u20137157 (2011)","journal-title":"J. Expert Syst. Appl."},{"key":"58_CR4","doi-asserted-by":"publisher","first-page":"277","DOI":"10.1016\/j.eswa.2005.11.037","volume":"32","author":"J Burez","year":"2007","unstructured":"Burez, J., Van den Poel, D.: CRM at a pay-TV company: using analytical models to reduce customer attrition by targeted marketing for subscription services. J. Expert Syst. with Appl. 32, 277\u2013288 (2007)","journal-title":"J. Expert Syst. with Appl."},{"key":"58_CR5","doi-asserted-by":"publisher","first-page":"402","DOI":"10.1016\/j.ejor.2008.06.027","volume":"197","author":"N Glady","year":"2009","unstructured":"Glady, N., Baesens, B., Croux, C.: Modeling churn using customer lifetime value. J. Eur. J. Oper. Res. 197, 402\u2013411 (2009)","journal-title":"J. Eur. J. Oper. Res."},{"key":"58_CR6","doi-asserted-by":"publisher","first-page":"196","DOI":"10.1016\/S0377-2217(03)00069-9","volume":"157","author":"D Van den Poel","year":"2004","unstructured":"Van den Poel, D., Lariviere, B.: Customer attrition analysis for financial services using proportional hazard models. J. Eur. J. Oper. Res. 157, 196\u2013217 (2004)","journal-title":"J. Eur. J. Oper. Res."},{"key":"58_CR7","doi-asserted-by":"crossref","unstructured":"Yabas, U., Cankaya, H.C.: Churn prediction in subscriber management for mobile and wireless communications services. In: 2013 IEEE Globecom Workshops, pp. 991\u2013995. IEEE Press, New York (2013)","DOI":"10.1109\/GLOCOMW.2013.6825120"},{"key":"58_CR8","doi-asserted-by":"publisher","first-page":"213","DOI":"10.22452\/mjcs.vol28no3.3","volume":"28","author":"B Al-Shboul","year":"2015","unstructured":"Al-Shboul, B., Faris, H., Ghatasheh, N.: Initializing genetic programming using fuzzy clustering and its application in churn prediction in the telecom industry. J. Malays. J. Comput. Sci. 28, 213\u2013220 (2015)","journal-title":"J. Malays. J. Comput. Sci."},{"key":"58_CR9","doi-asserted-by":"crossref","unstructured":"Wu, Y., Qi, J., Wang C.: The study on feature selection in customer churn prediction modeling. In: 2009 IEEE Systems, Man and Cybernetics, pp. 3205\u20133210. IEEE Press, New York (2009)","DOI":"10.1109\/ICSMC.2009.5346171"},{"key":"58_CR10","doi-asserted-by":"publisher","first-page":"737","DOI":"10.1108\/K-03-2013-0045","volume":"43","author":"WC Lin","year":"2014","unstructured":"Lin, W.C., Tsai, C.F., Ke, S.W.: Dimensionality and data reduction in telecom churn prediction. J. Kybernetes 43, 737\u2013749 (2014)","journal-title":"J. Kybernetes"},{"key":"58_CR11","doi-asserted-by":"publisher","first-page":"8696","DOI":"10.1016\/j.eswa.2011.01.077","volume":"38","author":"S Wang","year":"2011","unstructured":"Wang, S., Li, D., Song, X., et al.: A feature selection method based on improved fisher\u2019s discriminant ratio for text sentiment classification. J. Expert Syst. Appl. 38, 8696\u20138702 (2011)","journal-title":"J. Expert Syst. Appl."},{"key":"58_CR12","doi-asserted-by":"publisher","first-page":"2701","DOI":"10.1007\/s11771-014-2232-9","volume":"21","author":"M Zhang","year":"2014","unstructured":"Zhang, M., Li, G., Gong, J., et al.: Predicting configuration performance of modular product family using principal component analysis and support vector machine. J. J. Cent. South Univ. 21, 2701\u20132711 (2014)","journal-title":"J. J. Cent. South Univ."},{"key":"58_CR13","unstructured":"Van der MLJP PEO, van den HH J.: Dimensionality reduction: A comparative review. In: Tilburg, Netherlands: Tilburg Centre for Creative Computing, Tilburg University, Technical report. 2009-005(2009)"},{"key":"58_CR14","unstructured":"Goodfellow, I., Lee, H., Le, Q.V., et al.: Measuring invariances in deep networks. In: Advances in neural information processing systems, pp. 646\u2013654 (2009)"},{"key":"58_CR15","doi-asserted-by":"publisher","first-page":"861","DOI":"10.1016\/j.patrec.2005.10.010","volume":"27","author":"T Fawcett","year":"2006","unstructured":"Fawcett, T.: An introduction to ROC analysis. J. Pattern Recogn. Lett. 27, 861\u2013874 (2006)","journal-title":"J. Pattern Recogn. Lett."}],"container-title":["Communications in Computer and Information Science","Theory, Methodology, Tools and Applications for Modeling and Simulation of Complex Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-10-2663-8_58","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,11,2]],"date-time":"2023-11-02T09:09:30Z","timestamp":1698916170000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-10-2663-8_58"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016]]},"ISBN":["9789811026621","9789811026638"],"references-count":15,"URL":"https:\/\/doi.org\/10.1007\/978-981-10-2663-8_58","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"type":"print","value":"1865-0929"},{"type":"electronic","value":"1865-0937"}],"subject":[],"published":{"date-parts":[[2016]]},"assertion":[{"value":"22 September 2016","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"AsiaSim","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Asian Simulation Conference","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Beijing","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":"2016","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"8 October 2016","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"11 October 2016","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"16","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"asiasim2016a","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}