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- W33089808 abstract "Frequent pattern detection from a large Web-log dataset has been considered a useful method of Web-site anal- ysis. However, a naive usage of frequent pattern detection may lead to producing another meaningless dataset, namely, too much or trivial frequent patterns about which Web-pages were visited. To overcome this difficultly , this paper proposes a new datacube model supporting interactive process of Web-log mining. This datacube is powerful when a human user continues Web-log analysis by using frequent pattern detection and under a traditional datacube approach. This paper describes our new datacube model, denoted by itemset cube, and then efficient data-processing algorithms of three associated operations materialize, roll-up and drill-down are described." @default.
- W33089808 created "2016-06-24" @default.
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- W33089808 date "2003-01-01" @default.
- W33089808 modified "2023-09-26" @default.
- W33089808 title "A Data Cube Model Supporting Web-log Mining" @default.
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