Huanjing Wang photo Dr. Huanjing Wang
Professor of Computer Science
School of Engineering and Applied Sciences
Ogden College of Science and Engineering
Western Kentucky University
1906 College Heights Blvd. #11078
Bowling Green, KY 42101-1078
Office: COHH 4139
Phone: 270-745-2672
Fax: 270-745-3699

My research interests include data mining, software metrics, software quality and reliability, software quality modeling, and bioinformatics. I am currently working on feature selection for software quality prediction.

We explore the data mining concept of feature selection and investigate those technologies in the context of software quality prediction and software metrics. Various techniques developed from data mining and machine learning have been successfully applied for deriving new information in a variety of domains. Feature selection (or attribute selection) has become a vital pre-processing step in most data mining and machine learning problems. In addition to improving the quality of the machine learning data set, feature selection is particularly useful for highdimensional data. The aim of feature selection is to find a feature subset (i.e., data reduction) that can learn and describe the data set such that it is equivalent to the same task being done by the original data set (i.e., without any data reduction).

Chair, thesis commettee:
  • Yi Pan, Master of Science, 2017
  • Iunniang Cheng, Master of Science, 2013
  • Sri Harsha Vege, Master of Science, 2012
  • Pengpeng Lin, Master of Science, 2009