Research on uncertain data generation algorithm
Ming Yan Hu, Hongmei Wang, Dongkai Tang, Fentian Li · 2017
Uncertain data mining is becoming a research hotspot with the emergence of uncertain data in sensor network, Web application and other fields. How to obtain effective uncertain data sets is a prerequisite for the study of clustering, classification, frequent itemsets mining, isolated point detection and so on. In this paper, the representation model of uncertain data is analyzed, and corresponding uncertain data generation algorithms are proposed for different types of uncertain data. The analysis and experiments show that the algorithm proposed in this paper has practicality as a tool.