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Received:July 25, 2013 Revised:November 04, 2013
Received:July 25, 2013 Revised:November 04, 2013
中文摘要: 本文对Hadoop平台进行了分析研究后，与HITS算法的设计理论和技术相结合，对基于中文词汇网络的HITS算法进行了重新设计，使其符合Hadoop平台的框架，详细分析了Map/Reduce函数的设计方案. 用测试数据在不同集群上做实验，实验结果证明，HITS算法在分布式环境下能很好的运行，集群的优越性明显.
Abstract:In this paper HITS algorithm based on the Chinese vocabulary network is redesigned after analyzed the Hadoop platform, which is combined with the HITS's design theory and technology. This algorithm conforms to Hadoop framework.And Map/Reduce function's design scheme is analyzed in detail. With test data in a different cluster on the experiment, the results show that HITS algorithm can run well in a distributed environment and the cluster advantages are obvious.
keywords: Hadoop HITS Chinese vocabulary algorithm
文章编号： 中图分类号： 文献标志码：
基金项目:湖南省教育厅科学研究项目基金（12C0920）；空军航空维修技术学院项目基金（YC1208）
| Author Name | Affiliation |
| HUANG Jie | Aviation Electronic and Electrical Engineering Institute, Air Force Aviation Repair Institute of Technology, Changsha 410014, China |
| Author Name | Affiliation |
| HUANG Jie | Aviation Electronic and Electrical Engineering Institute, Air Force Aviation Repair Institute of Technology, Changsha 410014, China |
引用文本：
黄婕.基于Hadoop平台的HITS算法.计算机系统应用,2014,23(3):142-148
HUANG Jie.HITS Algorithm Based on the Hadoop.COMPUTER SYSTEMS APPLICATIONS,2014,23(3):142-148
黄婕.基于Hadoop平台的HITS算法.计算机系统应用,2014,23(3):142-148
HUANG Jie.HITS Algorithm Based on the Hadoop.COMPUTER SYSTEMS APPLICATIONS,2014,23(3):142-148
