An improved algorithm of FP - tree growth based on mapping

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 releva...

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Bibliographic Details
Published in2010 International Conference on Computer Application and System Modeling (ICCASM 2010) Vol. 4; pp. V4-463 - V4-465
Main Authors Huanglin Zeng, Bangrong Wang
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.10.2010
Subjects
Data mining
frequent Pattern tree
improved algorithm
Relevance rules
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Summary: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.
ISBN:9781424472352
1424472350
ISSN:2161-9069
DOI:10.1109/ICCASM.2010.5620419