Dependent Characteristics of Data and Separation of (F)-data
Yuying Li, Lin Qifa, Xie Wei-qi, Jintong Li · Journal of Software Engineering · 2016
Background: In data transmission, system often appears abnormity as outputting data of the system is changed. Materials and Methods:In order to obtain the method of identification or separation for abnormal data, the paper proposes (F ð, F) data and data dependence through using P-sets that is a new mathematic tool to research the dynamic system.The (F ð, F)-data consists of F ð-data and F-data.The F ð-data, F-data and (F ð, F)-data are all abnormal.Also this paper gives dependence characteristics as well as dependence-identification theorems of (F ð, F)-data.Results: By defining the module of data, the paper provides the method of separating-recovery (F ð, F)-data and the criterion of separating abnormal data.Finally, the application of separating abnormal (F ð, F)-data is provided.Conclusion: The proposed method of separating abnormal data can be applied to data mining, data filtration and data discovery, fault detection and ruling out and so on.