22 citations · 49 across the 4 of their papers we have counts for
4 papers
Feature Selection Based on Term Frequency and T-Test for Text Categorization
Deqing Wang, Hui Zhang, Rui Liu +1
Much work has been done on feature selection. Existing methods are based on document frequency, such as Chi-Square Statistic, Information Gain etc. However, these methods have two…
Detect Related Bugs from Source Code Using Bug Information
Deqing Wang, Mengxiang Lin, Hui Zhang +1
Open source projects often maintain open bug repositories during development and maintenance, and the reporters often point out straightly or implicitly the reasons why bugs occur…
Inverse-Category-Frequency based supervised term weighting scheme for text categorization
Deqing Wang, Hui Zhang
Term weighting schemes often dominate the performance of many classifiers, such as kNN, centroid-based classifier and SVMs. The widely used term weighting scheme in text categoriza…
Predicting Bugs' Components via Mining Bug Reports
Deqing Wang, Hui Zhang, Rui Liu +3
The number of bug reports in complex software increases dramatically. Now bugs are triaged manually, bug triage or assignment is a labor-intensive and time-consuming task. Without…