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

The Exploration of Autonomous Vehicles
The Exploration of Autonomous Vehicles
Anthony J. Gephardt, Elizabeth Baoying Wang. © 2022. 15 pages.
This chapter explores the world of autonomous vehicles. Starting from the beginning, it covers the history of the automobile dating back to 1769. It explains how the first...
The Exploration of Autonomous Vehicles
The Exploration of Autonomous Vehicles
Anthony J. Gephardt, Elizabeth Baoying Wang. © 2020. 15 pages.
This chapter explores the world of autonomous vehicles. Starting from the beginning, it covers the history of the automobile dating back to 1769. It explains how the first...
Data Analysis and Integration in Healthcare
Data Analysis and Integration in Healthcare
Kara S. Evans, Elizabeth Baoying Wang. © 2019. 15 pages.
Healthcare providers treat a plethora of conditions associated with the human body for a patient to achieve optimal healthiness. However, aspects of a patients' entire...
Big Data Analytics in Bioinformatics and Healthcare
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 and make...
Online Clustering and Outlier Detection
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 a rapid rate...
Online Clustering and Outlier Detection
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 a rapid rate...
Dynamic Ambient Networks with Middleware
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 development of...
Trends in Information Security Regulation
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. Regulations and laws in...
A Primer on Text-Data Analysis
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 unprecedented...
Categorization of Data Clustering Techniques
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 being very...