New variational Bayesian approaches for statistical data mining : with applications to profiling and differentiating habitual consumption behaviour of customers in the wireless telecommunication industry
|Year of publication:||
Queensland University of Technology
|Subject:||Gaussian mixture model (GMM) | mixture models | probability density estimation | variational bayes (VB) | Bayesian statistics | data mining (DM) | combinational data analysis (CDA) | profiling | segmentation | clustering | feature extraction | behavioural characteristics | consumer behaviour | customer behaviour | consumption behaviour | customer relationship management (CRM) | relationship marketing (RM) | human mobility pattern | spatial behaviour | temporal behaviour | circular data | data stream | high dimensional data | call detail records (CDR) | wireless telecommunication industry|
|Type of publication:||Book / Working Paper|
|Type of publication (narrower categories):||Thesis|
Wu, Burton (2011) New variational Bayesian approaches for statistical data mining : with applications to profiling and differentiating habitual consumption behaviour of customers in the wireless telecommunication industry. PhD thesis, Queensland University of Technology.
Faculty of Science and Technology; Mathematical Sciences
Stancu, Ana-Maria Ramona, (2013)
Carnicero, Jose Antonio, (2008)
Shi, Donghui, (2017)
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