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Introduction to the Domain-Driven Data Mining Special Section

Chengqi Zhang, IEEE Computer Society
Philip S. Yu, IEEE
David Bell

Pages: pp. 753-754

About the Authors

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Chengqi Zhang received the PhD degree from Queensland University in 1991, followed by a Doctor of Science (DSc-Higher Doctorate) from Deakin University in 2002. He has been a research professor in information technology at The University of Technology, Sydney (UTS) since December 2001. He is currently the director of the UTS Research Centre for Quantum Computation and Intelligent Systems. In addition, he is the leader of the data mining program at the Australian Capital Market Cooperative Research Centre. Dr. Zhang's research interests mainly focus on data mining and its applications, especially domain driven data mining, negative association rule mining, and multidatabase mining. He has published more than 200 research papers, including several in first-class international journals, such as Artificial Intelligence and IEEE and ACM Transactions. He has delivered 12 keynote/invited speeches at international conferences over the last six years. He has been chairman of the Australian Computer Society National Committee for Artificial Intelligence since November 2005. He is a fellow of the Australian Computer Society (ACS) and a senior member of the IEEE Computer Society. His personal web page can be found at:
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Philip S. Yu received the BS degree in electrical engineering from National Taiwan University, the MS and PhD degrees in electrical engineering from Stanford University, and the MBA degree from New York University. He is a professor in the Department of Computer Science at the University of Illinois at Chicago and also holds the Wexler Chair in Information Technology. He spent most of his career at the IBM Thomas J. Watson Research Center and was manager of the Software Tools and Techniques Group. His research interests include data mining, Internet applications and technologies, database systems, multimedia systems, parallel and distributed processing, and performance modeling. Dr. Yu has published more than 560 papers in refereed journals and conferences. He holds or has applied for more than 300 US patents. He is a fellow of the ACM and the IEEE. He is an associate editor of the ACM Transactions on the Internet Technology and the ACM Transactions on Knowledge Discovery from Data. He has received several IBM honors, including two IBM Outstanding Innovation Awards, an Outstanding Technical Achievement Award, two Research Division Awards, and the 94th plateau of Invention Achievement Awards. He was an IBM Master Inventor.
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David Bell graduated in 1969 in pure mathematics, and has three subsequent research degrees in a variety of topics: programming language design, database performance, and AI in database systems. He has been a full professor since 1986, currently at Queen's University, Belfast, where he is research director of the Knowledge and Data Engineering research cluster. He has well over 300 publications, including coauthoring Distributed Databases (Addison-Wesley) and Evidence Theory and Its Applications (North Holland), and has supervised about 35 PhDs to completion. He has been a prime investigator on many national projects and on EU-funded projects (e.g., MAP, ESPRIT, DELTA, COST and AIM) in IT since 1981. He serves/has served on a number of editorial boards, and has chaired /cochaired several program committees, including VLDB '93. His research is in data and knowledge management; the linking of reasoning under uncertainty, machine learning, and other artificial intelligence techniques with more established database work.
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