15 citations · 27 across the 17 of their papers we have counts for
17 papers
A Comparative Study of Discretization Approaches for Granular Association Rule Mining
Xu He, Fan Min, William Zhu
Granular association rule mining is a new relational data mining approach to reveal patterns hidden in multiple tables. The current research of granular association rule mining con…
Cost-sensitive C4.5 with post-pruning and competition
Zilong Xu, Fan Min, William Zhu
Decision tree is an effective classification approach in data mining and machine learning. In applications, test costs and misclassification costs should be considered while induci…
Characteristic of partition-circuit matroid through approximation number
Yanfang Liu, William Zhu
Rough set theory is a useful tool to deal with uncertain, granular and incomplete knowledge in information systems. And it is based on equivalence relations or partitions. Matroid…
Relationship between the second type of covering-based rough set and matroid via closure operator
Yanfang Liu, William Zhu
Recently, in order to broad the application and theoretical areas of rough sets and matroids, some authors have combined them from many different viewpoints, such as circuits, rank…
Geometric lattice structure of covering-based rough sets through matroids
Aiping Huang, William Zhu
Covering-based rough set theory is a useful tool to deal with inexact, uncertain or vague knowledge in information systems. Geometric lattice has widely used in diverse fields, esp…
Topological characterizations to three types of covering approximation operators
Aiping Huang, William Zhu
Covering-based rough set theory is a useful tool to deal with inexact, uncertain or vague knowledge in information systems. Topology, one of the most important subjects in mathemat…