… Our predictions are often reasonable, while our estimates of accuracy may very often be …
data sets we can afford to use methods, of which the simpler types of decision tree methods …

… the concept generalization method, which is commonly utilized in data mining to discretize
the … numerical data. The concept generalization method mainly includes the iso-deep method …

… From the symbolic machine learning and statistical machine learning to the artificial neural
network, followed by data mining in … behind big data. This survey compactly summarized big …

… This paper proposed a discrimination tree which combines the spectrum threshold method
and texture analysis method. This structure of the discrimination tree can not only effectively …

… His major research interest includes intelligent information extraction from remotely sensed
imagery, spatial data mining, and he has published nearly 30 papers. E-mail: sysj0918@126.…

… This paper analyzes the current methods for social network link prediction, compares … link
prediction problem as a classification problem, and realizes links prediction based on machine …

… As multicollinearity exist among these factors, the parameters estimation based on traditional
methods are not satisfactory. Models containing more correlating parameters may suffer …

… The method and procedure of the application of "3S" in the research of the waterpower
desertification is discussed in this paper, and an analysis method of cartography based on …

Based on using the intelligent growth mechanism, the mechanism-based artificial intelligence
theory organically unifies the structure, function, and behaviorism of three genres to form a …

… feature selection method, and to enhance software defect prediction … based on the union
method, provides higher accuracy of prediction compared to single feature selection methods, …