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- W1982128250 abstract "Personal information is used as a medium for service co-creation between consumer and service provider. The service provider now views personal information as a type of asset and tries to collects it as much as possible, whereas the consumer does not want to disclose it. The service provider has to find a strategy to collect personal information legally, maybe by providing a platform for trade-off between personal information and monetary rewards. There are several methods proposed to estimate the worth of personal information for the trade-off, but none of them studies the value of each specific attribute. Our survey shows that the value of each attribute varies from the users' point of view, as most regard an attribute such as National ID is more valuable than those of age or gender. We proposed here a technique to measure and compare the importance of each personal information attribute. Using the results from our survey, we constructed a network based on Bayes' formula. Then, we used a graph mining technique to find a relationship between the attributes. The results obtained from the graph mining technique indicate an interesting hierarchical relationship between the attributes. Hierarchy can be used for evaluating each attribute in the trading platform. Also, the results can be used for improving the effectiveness of privacy protection schemes, such as k-anonymity." @default.
- W1982128250 created "2016-06-24" @default.
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- W1982128250 date "2015-01-08" @default.
- W1982128250 modified "2023-09-26" @default.
- W1982128250 title "Evaluating the importance of personal information attributes using graph mining technique" @default.
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- W1982128250 doi "https://doi.org/10.1145/2701126.2701200" @default.
- W1982128250 hasPublicationYear "2015" @default.
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