Baoying Wang

Baoying Wang is an associate professor in Waynesburg University. She received her PhD degree in Computer Science from North Dakota State University, Master’s degree from Minnesota State University of St. Cloud, and Bachelor’s degree from Beijing University of Science and Technology. Her research interests include data mining, data warehouse, bioinformatics, parallel computing. She is a member of ACM, ISCA, and SIGMOD. As professional activities, she serves as a reviewer and/or a committee member of many international conferences and journals.

Publications

Big Data Analytics in Bioinformatics and Healthcare
Baoying Wang, Ruowang Li, William Perrizo. © 2015. 528 pages.
As technology evolves and electronic data becomes more complex, digital medical record management and analysis becomes a challenge. In order to discover patterns...
Online Clustering and Outlier Detection
Baoying Wang, Aijuan Dong. © 2013. 17 pages.
Clustering and outlier detection are important data mining areas. Online clustering and outlier detection generally work with continuous data streams generated at...
Online Clustering and Outlier Detection
Baoying Wang, Aijuan Dong. © 2013. 17 pages.
Clustering and outlier detection are important data mining areas. Online clustering and outlier detection generally work with continuous data streams generated at...
Dynamic Ambient Networks with Middleware
Baoying Wang, Rebecca L. Willard. © 2011. 9 pages.
Ambient Intelligence is the concept that technology will become a part of everyday living and assist users in multiple tasks. It is a combination and further...
Trends in Information Security Regulation
Christopher A. Canning, Baoying Wang. © 2010. 13 pages.
This chapter reviews regulations and laws that are currently affecting information assurance and security policy in both the public and private sectors....
A Primer on Text-Data Analysis
Imad Rahal, Baoying Wang, James Schnepf. © 2009. 8 pages.
Since the invention of the printing press, text has been the predominate mode for collecting, storing and disseminating a vast, rich range of information. With the...
Categorization of Data Clustering Techniques
Baoying Wang, Imad Rahal, Richard Leipold. © 2008. 10 pages.
Data clustering is a discovery process that partitions a data set into groups (clusters) such that data points within the same group have high similarity while...