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- W2066662005 abstract "The time-interval between the antecedent and the consequent of a sequential rule can be considered as an important aspect in sequential rules interest. For example, in web logs analysis, the end-user can be interested in predicting the next page that will be visited by an internet surfer based on a history of visited pages. A Closeness Preference measure is proposed to favour the sequential rules with close itemsets based on user time-preference in a post-processing step. We illustrate the interest of the Closeness Preference measure with two real datasets (web logs data and activities of daily living data) for first, a predictive task and second, a descriptive one. Both of them show that Closeness Preference measure is helpful to find small and efficient sets of simple sequential rules." @default.
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- W2066662005 date "2013-05-01" @default.
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- W2066662005 title "Closeness Preference – A new interestingness measure for sequential rules mining" @default.
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- W2066662005 doi "https://doi.org/10.1016/j.knosys.2013.01.025" @default.
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