Title :
An improved algorithm of FP - tree growth based on mapping
Author :
Zeng, Huanglin ; Wang, Bangrong
Author_Institution :
Sichuan Univ. of Sci. & Eng., Zigong, China
Abstract :
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 FP-tree. The effectiveness of the method proposed here is demonstrated by the experiment result of an illustration simulation.
Keywords :
data mining; tree data structures; FP tree growth; frequent pattern tree; illustration simulation; knowledge discovery; mapping construction; mining relevance rule algorithm; mining relevance rules; Data mining; Relevance rules; frequent Pattern tree; improved algorithm;
Conference_Titel :
Computer Application and System Modeling (ICCASM), 2010 International Conference on
Conference_Location :
Taiyuan
Print_ISBN :
978-1-4244-7235-2
Electronic_ISBN :
978-1-4244-7237-6
DOI :
10.1109/ICCASM.2010.5620419