A Heuristic Algorithm for Global Partial Order Mining
WANG JinLong1,2, XU CongFu1
1.College of Computer Science and Technology, Zhejiang University, Hangzhou 3100272. School of Computer Engineering, Qingdao Technological University, Qingdao 266033
Abstract：Sequential pattern mining is an important data mining research topic. In this paper the global partial order algorithm is firstly analyzed. Then, a heuristic algorithm is proposed for improving the process of global partial order construction. By using the local sequence pattern information, the problem of constructing the partial order model with high mathematical complexity can be avoided, and accurate results can be obtained. Finally, the efficiency and accuracy of the proposed method are validated by the experimental results on synthetic and real dataset.
王金龙，徐从富. 启发式全局偏序挖掘算法*[J]. 模式识别与人工智能, 2008, 21(2): 142-147.
WANG JinLong, XU CongFu. A Heuristic Algorithm for Global Partial Order Mining. , 2008, 21(2): 142-147.
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2008, Vol. 21 
