Research of Improved Apriori Algorithm Based on Itemset Array

Mining frequent item sets is a major key process in data mining research. Apriori and many improved algorithms are lowly efficient because they need scan database many times and storage transaction ID in memory, so time and space overhead is very high. Especially, they are lower efficient when they...

詳細記述

保存先:
書誌詳細
主要な著者: Naili Liu, Lei Ma
フォーマット: Artigo
言語:Inglês
出版事項: IFSA Publishing, S.L. 2013-06-01
シリーズ:Sensors & Transducers
主題:
Data mining
Association Rules
Frequent item sets
Binary item set array
Logic AND operation
オンライン･アクセス:http://www.sensorsportal.com/HTML/DIGEST/june_2013/P_1223.pdf
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