Title :
Parallel and distributed association mining: a survey
Author :
Zaki, Mohammed J.
Author_Institution :
Dept. of Comput. Sci., Rensselaer Polytech. Inst., Troy, NY, USA
Abstract :
The author surveys the state of the art in parallel and distributed association-rule-mining algorithms and uncovers the field´s challenges and open research problems. This survey can serve as a reference for both researchers and practitioners
Keywords :
data mining; distributed processing; parallel processing; data mining; distributed association mining; parallel association mining; rule-mining algorithms; survey; Association rules; Data mining; Distributed computing; Hardware; Itemsets; Runtime; Scalability; Transaction databases;
Journal_Title :
Concurrency, IEEE
DOI :
10.1109/4434.806975
