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

Peng Chao,Wu Bin,Deng Chao

doi:10.1109/ocs.2012.39

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

Peng Chao, Wu Bin + Show 1 more

https://doi.org/10.1109/ocs.2012.39

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Publication Date: Jun 1, 2012

Affiliation: Beijing University of Posts and Telecommunications, China Mobile (China)

#MapReduce Model #Term Contribution + Show 8 more

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Abstract

MapReduce is a software framework introduced by Google in 2004 to support distributed computing on large datasets on clusters of computers[1]. The term contribution (TC) algorithm is a relatively new algorithm in text mining to select features 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.

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