Data ScienceAnalyticsBig DataDeep LearningText miningData mining
Dr. Weiguo (Patrick) Fan is a Full Professor of Accounting and Information Systems and Full Professor of Computer Science (courtesy) at the Virginia Polytechnic Institute and State University (Virginia Tech). He received his Ph.D. in Business Administration from the Ross School of Business, University of Michigan, Ann Arbor, in 2002, a M. Sce in Computer Science from the National University of Singapore in 1997, and a B. E. in Information and Control Engineering from the Xi’an Jiaotong University, P.R. China, in 1995.
Patrick teaches undergraduate and graduate courses on Accounting (Principles and Intermediate), Business Data Communications, Object-Oriented System Development in Java, Management of Information Systems, Information Systems Auditing and Control, and Information System Security and Assurance at Virginia Tech. Prior to that, he has taught undergraduate courses related to Information Systems, Decision Support Systems, e-Commerce and e-Business at the University of Michigan and National University of Singapore.
His research interests focus on the design and development of novel information technologies — information retrieval, data mining, text analytics, social media analytics, business intelligence techniques — to support better business information management and decision making. He has published more than 160 refereed journal and conference papers. His research has appeared in many premier IT/IS/OM journals such as Information Systems Research, Journal of Management Information Systems, Productions and Operations Management, IEEE Transactions on Knowledge and Data Engineering, Information Systems, Communications of the ACM, Information and Management, Journal of the American Society on Information Science and Technology, Information Processing and Management, Decision Support Systems, ACM Transactions on Internet Technology, ACM Transactions on Management Information Systems, Pattern Recognition, IEEE Intelligent Systems, Journal of Informetrics, Information Systems Frontiers, Journal of Computer Information Systems, Pattern Recognition Letters, International Journal of e-Collaboration, International Journal of Electronic Business and Tourism Management.
His research has been cited more than 4900 times (h-index 38, i10-index 86) according to Google Scholar. His research on financial fraud auditing using automatic textual analysis has been mentioned numerous times in different online and news media (including Richmond Times, CFO magazine). His research on product defect discovery from social media has been featured in New York Times. His research has been funded by five NSF grants, one PWC grant, and one KPMG grant. Recently, he has started several new research projects, such as assessing the success, value, quality, and innovation in knowledge communities, crowdfunding, open innovations, firm disclosures in social media, healthcare analytics, competitive intelligence analytics, financial fraud detection using text mining techniques, capital market research using text analytics, product defect analytics, social media monitoring for crisis management, adverse event detection and mitigation, and E-Business success and quality metrics.
Assessing reliability of social media data: lessons from mining TripAdvisor hotel reviews