Title :
A New Mining Algorithm Based on Frequent Item Sets
Author_Institution :
LiShui Radio & Telev. Univ., Lishui
Abstract :
A new mining algorithm has been put in this paper base on frequent item sets. When affair database and minimum support has changed, this new algorithm can get the new frequent item sets by scanning the undirected item set graph only one time. Its execute efficiency is improved distinctly compared to the traditional algorithm.
Keywords :
data mining; graph theory; database; frequent item sets; mining algorithm; Algorithm design and analysis; Association rules; Data engineering; Data mining; Heuristic algorithms; Knowledge engineering; Protection; TV; Transaction databases;
Conference_Titel :
Knowledge Discovery and Data Mining, 2008. WKDD 2008. First International Workshop on
Conference_Location :
Adelaide, SA
Print_ISBN :
978-0-7695-3090-1
DOI :
10.1109/WKDD.2008.86
