• Real-world data is not pure. In fact, real-world data might be incomplete, noisy, or inconsistent, which can disguise useful patterns.
• High-performance data mining systems require quality data. Information enhancement, therefore, is critical in generating a data set that is cleaner and smaller than the original, which can significantly improve data mining's efficiency.
• Quality data yields more useful patterns for discovery. Often, the preprocess step in which we enhance the data is interleaved with the data mining step.
• Constructing interactive and integrated information enhancement and data mining environments
• Establishing information enhancement theories
• Developing efficient and effective information enhancement methods and systems for mining multiple data sources, including internal and external data
• Exploring efficient information enhancement techniques for Web intelligence
Shichao Zhang is an assistant president at the Guangxi Teachers University. He is also a senior research fellow at the Faculty of Information Technology, University of Technology, Sydney. His recent research interests include data analysis and smart e-intelligence. He received his PhD in computer science from Deakin University. Contact him at the Univ. of Technology, Sydney, Broadway NSW 2007, Australia; firstname.lastname@example.org.
Chengqi Zhang is a research professor in the Faculty of Information Technology at the University of Technology, Sydney. His research interests include data mining and multiagent systems. He received his PhD in computer science from the University of Queensland, Brisbane and a Doctor of Science degree from Deakin University. He is a member of the IEEE, an associate editor on the editorial board for Knowledge and Information Systems: An International Journal, and a member of the editorial board of the International Journal of Web Intelligence and Agent Systems. Contact him at the Univ. of Technology, Sydney, Broadway NSW 2007, Australia; email@example.com.
Qiang Yang is a faculty member in the Department of Computer Science, Hong Kong University of Science and Technology. His research interests include planning, case-based reasoning, and data mining. He received his PhD in computer science from the University of Maryland. He is a member of the IEEE. Contact him at the Dept. of Computer Science, Hong Kong Univ. of Science and Technology, Clearwater Bay, Kowloon, Hong Kong, China; firstname.lastname@example.org.