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- W2611866443 abstract "In the online world today, web pages have the opportunity to save the attributes of their visitors' software and hardware environment and also some of their behavioural aspects. This data might contain valuable information about them. This paper presents research, where all the available data from the visitors of an online e-learning environment was saved and various data-mining techniques were performed on it to reveal hidden rules. As a result, intelligence and life satisfaction traits of the visitors can be predicted based on their behaviour in the online environment. This information can be used to profile the visitor and targeted advertisements can be sent to them." @default.
- W2611866443 created "2017-05-12" @default.
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- W2611866443 date "2016-01-01" @default.
- W2611866443 modified "2023-09-24" @default.
- W2611866443 title "Data-mining behavioural data from the web" @default.
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- W2611866443 doi "https://doi.org/10.1109/skima.2016.7916208" @default.
- W2611866443 hasPublicationYear "2016" @default.
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