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- W2897119804 abstract "For1 the incomplete detection of inconsistent data by conditional functional dependency(CFDs), this paper proposes a dependency lifting algorithm (DLA) based on maximum dependency set (MDS), which detects inconsistent data in data set by acquiring recessive conditional functional dependencies (RCFDs) in CFDs. Presenting the dynamic domain adjustment, setting forward and backward pointers of numerical change to improve the enumeration process in original algorithm, the applicability of the algorithm to the continuous attributes is raised too. Then, this paper provides the algorithm flow and pseudo code of dynamic domain adjustment and the DLA, analyses the convergence and time complexity of them. Finally, the validity of the DLA is verified by comparing the detection accuracy and time-cost." @default.
- W2897119804 created "2018-10-26" @default.
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- W2897119804 date "2018-10-22" @default.
- W2897119804 modified "2023-09-26" @default.
- W2897119804 title "Inconsistent Data Detection based on Maximum Dependency Set" @default.
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- W2897119804 doi "https://doi.org/10.1145/3207677.3277983" @default.
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