ARMiner: A Data Mining Tool Based on Association Rules

In this paper, ARMiner, a data mining tool based on association rules, is introduced. Beginning with the system architecture, the characteristics and functions are discussed in details, including data transfer, concept, hierarchy generalization, mining rules with negative items and the re-development of the system. An example of the tool’s application is also shown. Finally, some issues for future research are presented. This paper is supported by the Key Program of the National Natural Science Foundation of China (Grant No.69933010) and the National “863” High-Tech Programme of China (Grant No.863-306-ZT02-05-1). ZHOU Haofeng was born in 1975. He received his B.E. degree in computer science from Shanghai University in 1997, and his M.S. degree in computer science from Fudan University in 2000. He is currently a Ph.D. candidate in computer science at Fudan University. His research interests include data mining, database and knowledgebase. ZHU Jianqiu was born in 1974. He received his B.S. degree in computer science from Harbin University of Science and Technology in 1996, and his M.S. degree in computer science from Fudan University in 1999. He is currently a Ph.D. candidate in computer science at Fudan University. His research interests include data mining, CRM and e-commerce. ZHU Yangyong was born in 1963. He received his B.S. in mathematics from Xinjiang University in 1984, and his Ph.D. in computer science from Fudan University in 1994. He is now a professor in the Department of Computing and Information Technology in Fudan University. His research interests include data mining and e-commerce. SHI Baile was born in 1935. He majored in computing mathematics and graduated from Beijing University in 1957. He is now a professor in the Department of Computing and Information Technology in Fudan University. His research interests include digital library, database and knowledgebase.