33 citations · 79 across the 35 of their papers we have counts for
20 papers · 2 filters
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…
Minimal cost feature selection of data with normal distribution measurement errors
Hong Zhao, Fan Min, William Zhu
Minimal cost feature selection is devoted to obtain a trade-off between test costs and misclassification costs. This issue has been addressed recently on nominal data. In this pape…
Matrix approach to rough sets through vector matroids over a field
Aiping Huang, William Zhu
Rough sets were proposed to deal with the vagueness and incompleteness of knowledge in information systems. There are may optimization issues in this field such as attribute reduct…
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…
Test-cost-sensitive attribute reduction of data with normal distribution measurement errors
Hong Zhao, Fan Min, William Zhu
The measurement error with normal distribution is universal in applications. Generally, smaller measurement error requires better instrument and higher test cost. In decision makin…