Journal of Software Engineering

Year: 2017 | Volume: 11 | Issue: 1 | Page No.: 32-39
DOI: 10.3923/jse.2017.32.39

Dependent Characteristics of Data and Separation of ( , F)-data

Li Yuying, Lin Qifa, Xie Weiqi and Li Jintong

Abstract: 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) data and data dependence through using P-sets that is a new mathematic tool to research the dynamic system. The ( , F)-data consists of -data and F-data. The -data, F-data and ( , F)-data are all abnormal. Also this paper gives dependence characteristics as well as dependence-identification theorems of ( , F)-data. Results: By defining the module of data, the paper provides the method of separating-recovery ( , F)-data and the criterion of separating abnormal data. Finally, the application of separating abnormal (, 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.