Collective churn prediction in social network

In service-based industries, churn poses a significant threat to the integrity of the user communities and profitability of the service providers. As such, research on churn prediction methods has been actively pursued, involving either intrinsic, user profile factors or extrinsic, social factors. H...

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Bibliographic Details
Main Authors: OENTARYO, Richard J., Ee-peng LIM, David LO, ZHU, Feida, PRASETYO, Philips K.
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2012
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Online Access:https://ink.library.smu.edu.sg/sis_research/3177
https://ink.library.smu.edu.sg/context/sis_research/article/4178/viewcontent/Collective_Churn_Prediction_in_Social_Network_2012.pdf
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Institution: Singapore Management University
Language: English