Author(s): J. D. Velàsquez, H. Yasuda, T. Aoki & R. Weber
Visits in a Web site leave behind important information about the behavior of the
This information is stored in log files, which can contain many registers
but part of them do not contain relevant information.
In such cases, user behavior
analysis turns out to be a complex and time-consuming task.
In order to analyze Web site visits, the relevant information has to be filtered
and studied in an efficient way.
We introduce a generic Data Mart architecture to
support advanced Web mining, which is based on a Star model and contains the
relevant historical data from visits to the Web site.
Its fact table contains various
additive measures that support the intended data mining tasks, whereas the dimension
tables store the parameters necessary fo...
Size: 471 kb
Paper DOI: 10.2495/DATA030381
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