Brand Switching Pattern Discovery by Data Mining Techniques for the Telecommunication Industry in Australia
Autor: | Steven D'Alessandro, Leanne Carter, Zahidul Islam, David Gray, Michael Furner, Lester W. Johnson |
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Jazyk: | angličtina |
Rok vydání: | 2016 |
Předmět: |
Information Systems and Management
Computer science Decision tree 02 engineering and technology Information technology computer.software_genre 03 medical and health sciences 0302 clinical medicine Knowledge extraction Order (exchange) decision tree 0202 electrical engineering electronic engineering information engineering switching behaviour Perspective (graphical) decision forest data mining QA75.5-76.95 T58.5-58.64 Variety (cybernetics) Random forest Human-Computer Interaction brand switching Electronic computers. Computer science ensemble of decision trees Business Management and Accounting (miscellaneous) Domain knowledge 020201 artificial intelligence & image processing Data mining computer 030217 neurology & neurosurgery Mobile service Information Systems |
Zdroj: | Australasian Journal of Information Systems, Vol 20, Iss 0 (2016) |
ISSN: | 1449-8618 |
Popis: | There is more than one mobile-phone subscription per member of the Australian population. The number of complaints against the mobile-phone-service providers is also high. Therefore, the mobile service providers are facing a huge challenge in retaining their customers. There are a number of existing models to analyse customer behaviour and switching patterns. A number of switching models may also exist within a large market. These models are often not useful due to the heterogeneous nature of the market. Therefore, in this study we use data mining techniques to let the data talk to help us discover switching patterns without requiring us to use any models and domain knowledge. We use a variety of decision tree and decision forest techniques on a real mobile-phone-usage dataset in order to demonstrate the effectiveness of data mining techniques in knowledge discovery. We report many interesting patterns, and discuss them from a brand-switching and marketing perspective, through which they are found to be very sensible and interesting. |
Databáze: | OpenAIRE |
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