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
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;
Conference_Titel :
Informatics in Control, Automation and Robotics (CAR), 2010 2nd International Asia Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-5192-0
Electronic_ISBN :
1948-3414
DOI :
10.1109/CAR.2010.5456721
