Design and Implementation of Parallel Term Contribution Algorithm Based on Mapreduce Model

摘要

MapReduce is a software framework introduced byGoogle in 2004 to support distributed computing on large datasets on clusters of computers. The term contribution(TC)algorithm is a relatively new algorithm in text mining to selectfeatures for clustering. In this paper, we design and implement a parallel term contribution(PTC) algorithm based on MapReduce model. By experiment, we come to the conclusion that the performance of TC is greatly enhanced using MapReduce framework.