DocumentCode :
2635843
Title :
Research on algorithms for association rules mining based on FP-tree
Author :
Zhou, Zhun ; Yang, Bingru ; Zhao, Yunfeng ; Hou, Wei
Author_Institution :
Sch. of Inf. Eng., Univ. of Sci. & Technol. Beijing, Beijing
fYear :
2008
fDate :
10-12 Dec. 2008
Firstpage :
1
Lastpage :
5
Abstract :
Technology of frequent pattern tree is presented in the paper. This paper analyzes the defect and limitation of algorithm based on classic frequent pattern of association rules. Then based on KDD* model this article implement an association rules algorithms based on IFP-tree. The middle results and finally frequent patterns of the algorithm are stored on database. The algorithm in build IFP-tree and speed of mining frequent patterns has certain improvement. Finally, the experiments reports in the paper confirmed that IFP-tree algorithm if effective and reliable for mining association rules.
Keywords :
data mining; tree data structures; FP-tree; KDD model; association rules mining; frequent pattern tree; Algorithm design and analysis; Association rules; Buildings; Change detection algorithms; Data mining; Itemsets; Marketing and sales; Paper technology; Pattern analysis; Transaction databases; Association rules; Data mining; frequent patterns;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems and Control in Aerospace and Astronautics, 2008. ISSCAA 2008. 2nd International Symposium on
Conference_Location :
Shenzhen
Print_ISBN :
978-1-4244-3908-9
Electronic_ISBN :
978-1-4244-2386-6
Type :
conf
DOI :
10.1109/ISSCAA.2008.4776150
Filename :
4776150
Link To Document :
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