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A Multiple Source based Transfer Learning Framework for Marketing Campaigns.

, , , , , and . IJCNN, page 1-8. IEEE, (2018)

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Better member outcomes in superannuation through data driven financial literacy prediction. University of Technology Sydney, Australia, (2021)Combining heterogeneous features for time series prediction., , , , , , , and . BESC, page 1-2. IEEE, (2017)Customer Churn Prediction in Superannuation: A Sequential Pattern Mining Approach., , , , , and . ADC, volume 10837 of Lecture Notes in Computer Science, page 123-134. Springer, (2018)Cost-Sensitive Churn Prediction in Fund Management Services., , , , , and . DASFAA (2), volume 10828 of Lecture Notes in Computer Science, page 776-788. Springer, (2018)A Multiple Source based Transfer Learning Framework for Marketing Campaigns., , , , , and . IJCNN, page 1-8. IEEE, (2018)Client Churn Prediction with Call Log Analysis., , , , , and . DASFAA (2), volume 10828 of Lecture Notes in Computer Science, page 752-763. Springer, (2018)