An Overview of Bayesian Network Applications in Uncertain Domains

Khalid Iqbal, Xu-Cheng Yin, Hong-Wei Hao, Qazi Mudassar Ilyas, Hazrat Ali
2015 Journal of clean energy technologies  
Uncertainty is a major barrier in knowledge discovery from complex problem domains. Knowledge discovery in such domains requires qualitative rather than quantitative analysis. Therefore, the quantitative measures can be used to represent uncertainty with the integration of various models. The Bayesian Network (BN) is a widely applied technique for characterization and analysis of uncertainty in real world domains. Thus, the real application of BN can be observed in a broad range of domains such
more » ... as image processing, decision making, system reliability estimation and PPDM (Privacy Preserving in Data Mining) in association rule mining and medical domain analysis. BN techniques can be used in these domains for prediction and decision support. In this article, a discussion on general BN representation, draw inferences, learning and prediction is followed by applications of BN in some specific domains. Domain specific BN representation, inferences and learning process are also presented. Building upon the knowledge presented, some future research directions are also highlighted. His research interests cover large-scale semantic computing theory and technology, large-scale machine learning theory, and intelligent massive information processing. Qazi Mudassir Ilyas is currently working as an assistant professor at King Faisal University, Saudi Arabia. He earned a bachelor degree in agricultural engineering from University of Agriculture, Pakistan with a gold medal, master degree in computer science from the same university and PhD degree in information and communication engineering from Huazhong University of Science and Technology, China with Excellent Student Award. His research interests include semantic web, knowledge engineering, machine learning and human computer interaction. He is a member of various scientific bodies including IEEE, Internet Society, Higher Education Commission of Pakistan and Pakistan Engineering Council. Hazrat Ali received his bachelor and master degrees in electrical engineering from University of Engineering and Technology Peshawar Pakistan, in 2009 and 2012 respectively. He is currently pursuing his PhD degree in
doi:10.7763/ijcte.2015.v7.996 fatcat:qlhgx3kuevenxlvn3q5uu5lubu