An Improved Algorithm of FP -tree Growth Based on Mapping

摘要：

The basic philosophy of mining relevance rule algorithm in knowledge discovery is introduced. After analysis on obvious shortcoming of frequent Pattern tree (FP-tree) algorithm in relevance rule mining, an improved algorithm of FP -tree growth is proposed to enhance the performance of mining relevance rules based on mapping construction of Fptree. The effectiveness of the method proposed here is demonstrated by the experiment result of an illustration simulation.

关键词： data mining relevance rules improved algorithm frequent pattern tree

作者: Huanglin Zeng Bangrong Wang

作者单位: Sichuan University of Science & Engineering Zigong,China, 643000 College of Science, Sichuan University of Science&Engineering, Zigong, China

会议类型: 国际会议

会议名称: The 2010 International Conference on Computer Application and System Modeling(2010计算机应用与系统建模国际会议 ICCASM 2010)

会议地点: 太原

会议语种:英文

页码: 463-465

在线出版日期: 2010-10-22（万方平台首次上网日期，不代表论文的发表时间）