DocumentCode
532365
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
Volume
4
fYear
2010
fDate
22-24 Oct. 2010
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/ICCASM.2010.5620419
Filename
5620419
Link To Document