To search, Click
below search items.
|
|

All
Published Papers Search Service
|
Title
|
Hybrid Approach for Improving Efficiency of Apriori Algorithm on Frequent Itemset
|
Author
|
Arwa Altameem, Mourad Ykhlef
|
Citation |
Vol. 18 No. 5 pp. 151-155
|
Abstract
|
Apriori algorithm is one of the most popular algorithms that is used to extract frequent itemsets from large database. It requires multiple scans over the database resulting in a large number of disk reads and placing a huge load on the system. This study proposed an improved version of Apriori Algorithm to overcome the deficiency of the basic one. The improved version is more efficient which takes less time and hence reflects in high efficiency.
|
Keywords
|
Improved Apriori, Data Mining, Frequent Itemset, Hybrid Apriori.
|
URL
|
http://paper.ijcsns.org/07_book/201805/20180521.pdf
|
|