Title :
Parallel implementation of association rule in data mining
Author :
Einakian, Sussan ; Ghanbari, M.
Author_Institution :
Alabama Univ., Huntsville, AL
Abstract :
This paper discusses parallel data mining architecture for large volume of data which eventually scanning billions of rows of data per record. Here we compare the different parallel algorithms for association rule mining and discuss the advantages and disadvantages of each method. We also compare the computational time of serial and parallel algorithms for association rule mining
Keywords :
data mining; parallel algorithms; association rule mining; parallel algorithms; parallel data mining architecture; Algorithm design and analysis; Association rules; Computer architecture; Concurrent computing; Data analysis; Data mining; Frequency; Hardware; Parallel algorithms; Parallel processing;
Conference_Titel :
System Theory, 2006. SSST '06. Proceeding of the Thirty-Eighth Southeastern Symposium on
Conference_Location :
Cookeville, TN
Print_ISBN :
0-7803-9457-7
DOI :
10.1109/SSST.2006.1619085
