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- W2893612276 abstract "This work analyses the navigation in the enrolment web information area of the University of the Basque Country. A complete data mining process shows that successful and failure navigation behaviors can be modeled using machine learning techniques. Unsupervised learning algorithms have been applied on two different domains: URLs visited by the users in each session (navigation sequence) and some interaction parameters extracted from the recorded click-stream (navigation style). Both domains have been used satisfactorily to model the behavior of success and failure navigation sessions achieving more than 78% of accuracy predicting success or failure sessions. Furthermore, the clustering based on the navigation style was able to identify the main characteristics of each type of session and to build a subsystem that enables to detect failure type sessions with high precision." @default.
- W2893612276 created "2018-10-05" @default.
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- W2893612276 date "2018-01-01" @default.
- W2893612276 modified "2023-09-27" @default.
- W2893612276 title "Modeling the Navigation on Enrolment Web Information Area of a University Using Machine Learning Techniques" @default.
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- W2893612276 doi "https://doi.org/10.1007/978-3-030-00374-6_29" @default.
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