Preference mining techniques for customer behavior analysis
Contribuinte(s) |
Li Gang Beliakov Gleb Mak Vicky |
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Data(s) |
01/09/2014
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Resumo |
The thesis has studied a number of critical problems in data mining for customer behavior analysis and has proposed novel techniques for better modeling of the customers’ decision making process, more efficient analysis of their travel behavior, and more effective identification of their emerging preference. |
Identificador | |
Idioma(s) |
eng |
Publicador |
Deakin University, Faculty of Science, Engineering and Built Environment, School of Information Technology |
Relação |
http://dro.deakin.edu.au/eserv/DU:30072995/vu-agreement-2014.pdf http://dro.deakin.edu.au/eserv/DU:30072995/vu-preferencemining-2014A.pdf |
Direitos |
The Author. All Rights Reserved |
Palavras-Chave | #customer preference #customer behavior #decision making modelling #travel behavior #data mining #data analysis |
Tipo |
Thesis |