期刊论文

Wang, Shouyang

英文

Knowledge and Information Systems

0219-1377

2015

43

1

29-51

10.1007/s10115-013-0722-y

Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [71101100, 70731160635, 71273036]; New Teachers' Fund for Doctor Stations, Ministry of Education [20110181120047]; Excellent Youth fund of Sichuan University [2013SCU04A08]; China Postdoctoral Science FoundationChina Postdoctoral Science Foundation [2011M500418, 2012T50148, 2013M530753]; Frontier and Cross-innovation Foundation of Sichuan University [skqy201352]; Soft Science Foundation of Sichuan Province [2013ZR0016]; Humanities and Social Sciences Youth Foundation of the Ministry of Education of PR China [11YJC870028]; Selfdetermined Research Funds of CCNU from Colleges' Basic Research and Operation of MOE [CCNU13F030]

本校为其他机构

Customer churn prediction is one of the key steps to maximize the value of customers for an enterprise. It is difficult to get satisfactory prediction effect by traditional models constructed on the assumption that the training and test data are subject to the same distribution, because the customers usually come from different districts and may be subject to different distributions in reality. This study proposes a feature-selection-based dynamic transfer ensemble (FSDTE) model that aims to introduce transfer learning theory for utilizing the customer data in both the target and related sourc...