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- W202496387 abstract "It is very necessary for e-marketers to understand e-shoppers’ needs for making correct marketing strategies. Knowledge of e-shoppers purchase behaviors can be extracted from transaction databases. In this paper, transaction database is transformed into the database of linguistic values, and research on e-shopper purchase behavior is made based on linguistic values of product attributes. And an algorithm that contains the first support, the second support and rel-confidence is proposed to extract rules from the database of linguistic values. The algorithm is applicable for mining both frequent linguistic items and significant rare items. Consequently, e-shoppers purchase behavior can be revealed based on the rules. The result indicates the proposed method is very efficient in discovering e-shoppers purchase behavior, and is useful for e-marketers to make marketing decisions." @default.
- W202496387 created "2016-06-24" @default.
- W202496387 creator A5031681734 @default.
- W202496387 date "2012-01-01" @default.
- W202496387 modified "2023-10-06" @default.
- W202496387 title "Analyzing E-Shopper’s Purchase Behavior Based on Linguistic Values" @default.
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- W202496387 doi "https://doi.org/10.1007/978-3-642-34240-0_55" @default.
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