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    Chapter and Conference Paper

    Learning from Hierarchical Attribute Values by Rough Sets

    The rough-set theory has been widely used in dealing with data classification problems. Most of the previous studies on rough sets focused on deriving certain rules and possible rules on the single concept lev...

    Tzung-Pei Hong, Chun-E Lin, Jiann-Horng Lin in Intelligent Systems Design and Applications (2003)

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    Chapter and Conference Paper

    Maintenance of Discovered Functional Dependencies: Incremental Deletion

    The discovery of functional dependencies (FDs) in relational databases is an important data-mining problem. Most current work assumes that the database is static, and a database update requires rediscovering a...

    Shyue-Liang Wang, Wen-Chieh Tsou in Intelligent Systems Design and Applications (2003)

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    Reference Work Entry In depth

    Privacy Preservation in Big Data Analytics

    Yu-Chuan Tsai, Shyue-Liang Wang, Tzung-Pei Hong in Granular, Fuzzy, and Soft Computing (2023)