A Novel Efficient Mining Algorithm For Frequent Patterns On Biological Multiple Sequence

摘要：

　　In order to overcome the shortcomings of traditional algorithms,the algorithm MSPM was proposed.It used longer patterns for mining,which avoided producing lots of patterns with short length.Meanwhile by the use of prefix tree of primary frequent patterns,we extended the primary patterns which avoided plenty of irrelevant patterns.The experimental results show that MSPM not only improves the performance but also achieves effective mining results.

关键词： Biological Multiple Sequence Primary Frequent Pattern Prefix Tree

作者: Wei Liu Ling Chen

作者单位: School of Information Technology, Nanjing Xiaozhuang University, Nanjing 211171 , China Institute of Information Science and Technology, Yangzhou University, Yangzhou 225009, China ;Nation

会议类型: 国际会议

会议名称: the 2010 International Conference on Frontiers of Manufacturing and Design Science(第一届制造与设计科学国际会议(ICFMD 2010))

会议地点: 重庆

会议语种:英文

页码: 3697-3701

在线出版日期: 2010-12-11（万方平台首次上网日期，不代表论文的发表时间）