An effective algorithm for mining association rules based on imperialist competitive algorithm

Author(s):  
Fariba Khademolghorani
2014 ◽  
Vol 644-650 ◽  
pp. 2329-2333
Author(s):  
Jin Kun Luo ◽  
Chang An Yuan ◽  
Yu Zhong Peng

Traditional algorithm for mining association rules need to scan the database many times when mining association rules, which are inefficient and time-wasting. In the light of the defects of traditional algorithm, this paper introduces the improvement of community partition algorithm into the process of association mining and uses the Internet forum users’ data of a university as the object of the new algorithm for mining association rules. The experiment shows that the new algorithm can help optimize the data association rules mining and reduces the times and time of scanning the database, so the mining efficiency is greatly enhanced.


2018 ◽  
Vol 11 (1) ◽  
pp. 57 ◽  
Author(s):  
Dieu Tien Bui ◽  
Himan Shahabi ◽  
Ataollah Shirzadi ◽  
Kamran Kamran Chapi ◽  
Nhat-Duc Hoang ◽  
...  

The authors wish to make the following corrections to this paper [...]


2013 ◽  
Vol 219 (17) ◽  
pp. 8829-8841 ◽  
Author(s):  
Rasul Enayatifar ◽  
Moslem Yousefi ◽  
Abdul Hanan Abdullah ◽  
Amer Nordin Darus

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