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Cost-Sensitive Churn Prediction in Fund Management Services.

, , , , , и . DASFAA (2), том 10828 из Lecture Notes in Computer Science, стр. 776-788. Springer, (2018)

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Meng Meng

Qinxue Wei

Meng Meng Liang

Meng Zhang

Methods and implementations of road-network matching. TU München, (2009)

Winfried Meng

 

Другие публикации лиц с тем же именем

Combining heterogeneous features for time series prediction., , , , , , , и . BESC, стр. 1-2. IEEE, (2017)Cost-Sensitive Churn Prediction in Fund Management Services., , , , , и . DASFAA (2), том 10828 из Lecture Notes in Computer Science, стр. 776-788. Springer, (2018)Customer Churn Prediction in Superannuation: A Sequential Pattern Mining Approach., , , , , и . ADC, том 10837 из Lecture Notes in Computer Science, стр. 123-134. Springer, (2018)Relational Autoencoder for Feature Extraction., , , и . CoRR, (2018)Discovering influential authors in heterogeneous academic networks by a co-ranking method., и . CIKM, стр. 1029-1036. ACM, (2013)A Multiple Source based Transfer Learning Framework for Marketing Campaigns., , , , , и . IJCNN, стр. 1-8. IEEE, (2018)Community detection on heterogeneous networks by multiple semantic-path clustering., , и . CASoN, стр. 7-12. IEEE, (2014)Using network evolution theory and singular value decomposition method to improve accuracy of link prediction in social networks., и . AusDM, том 134 из CRPIT, стр. 175-182. Australian Computer Society, (2012)L-SHADE-E: Ensemble of two differential evolution algorithms originating from L-SHADE., , , и . Inf. Sci., (2021)Heterogeneous network analysis on academic collaboration networks. University of Technology Sydney, Australia, (2014)