Moving Objects Association Rule Mining Model and Algorithm
Data association is a kind of important knowledge which can be discovered in moving object databases and applications. In the paper we firstly present general process of association mining. We also propose moving objects data model for association mining. Based on algebraic theory, method and algorithms of moving objects association rule mining are then proposed in the paper. Data modeling, semantics representation and data mining are conducted under a unified framework to analyze moving objects characteristics and discover behavior patterns of moving objects.
moving objects association rule data mining lattice knowledge discovery
Rong Xie Xin Luo
International School of Software Wuhan University 39 Luoyu Road, Wuhan 430079, China State Key Lab of Digital Manufacturing Equipment and Technology Huazhong University of Science and T
国际会议
2011 International Conference on Database and Data Mining(ICDDM 2011)(2011年数据库和数据挖掘国际会议)
三亚
英文
282-286
2011-03-25（万方平台首次上网日期，不代表论文的发表时间）