Data-Quality-Aware Skyline Queries
作者： Hélène Jaudoin , Olivier Pivert , Grégory Smits , Virginie Thion
DOI: 10.1007/978-3-319-08326-1_56
关键词:
摘要: This paper deals with skyline queries in the context of “dirty databases”, i.e., databases that may contain bad quality or suspect data. We assume each tuple attribute value a given dataset is associated level and we define several extensions make it possible to take data into account when checking whether dominated by another. leads computation different types gradual (fuzzy) skylines.
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