A survey on Frequent Itemset Mining Techniques using GPU

Abstract

Frequent pattern mining is a discipline with many practical applications, where massive computational power and speed are required. Many state-of-the-art frequent pattern mining applications have inefficient solutions for both shared memory and multiprocessor systems due to problems with parallelism and memory. One of possible solutions to the trouble is the use of Graphics Processing Unit (GPU) in the organization along with modification of classical mining algorithms in such a manner, that the sequential part of the algorithm is run on the server and the parallel port on GPU.s. Here we present a survey of multi core and GPU accelerated parallelization of the FIM algorithms