DocumentCode
2248776
Title
The improvement of PHP algorithm for association rules
Author
Huansong, Yang ; Suntao, Qin
Author_Institution
Hangzhou Inst. of Service Eng., Hangzhou Normal Univ., Hangzhou, China
Volume
3
fYear
2010
fDate
6-7 March 2010
Firstpage
404
Lastpage
407
Abstract
The first step of detecting relating rule is a process at the cost of much system resource, so the total performance of detecting relating rule is determined by this step. The main goal of existing algorithms at present is focused on the efficiency of this step. DHP and PHP are included in those algorithms and these two algorithms are the transmutations of Apriori algorithm to improve its validity. PHP is developed based on DHP and it saves the CPU running time of DHP effectively. It is useful in improving the efficiency of detecting relating rule in commercial database by developing PHP algorithms to reduce the CPU calculating time.
Keywords
data mining; Apriori algorithm; DHP algorithm; PHP algorithm; association rules; relating rule detection; Asia; Association rules; Automatic control; Control systems; Data mining; Databases; Informatics; Itemsets; Robot control; Robotics and automation; Data digging; Improved; PHP algorithm;
fLanguage
English
Publisher
ieee
Conference_Titel
Informatics in Control, Automation and Robotics (CAR), 2010 2nd International Asia Conference on
Conference_Location
Wuhan
ISSN
1948-3414
Print_ISBN
978-1-4244-5192-0
Electronic_ISBN
1948-3414
Type
conf
DOI
10.1109/CAR.2010.5456721
Filename
5456721
Link To Document