Constructing Classification Model with MapReduce

摘要：

By analyzing the process of classification and MapReduce computing paradigms, it is found that the parallel and distributed computing model in MapReduce is appropriate for constructing classifier model. This paper presents a MapReduce algorithm for parallel and distributed classification, aiming to reduce the computational time in training process on large scale documents. Our experiment shows that the running time of the algorithm is greatly shortened and it is capable for larger scale documents.

关键词： classification MapReduce parallel distributed computing model

作者: Xiangxiang Chen Kaigui Wu Changze Wu

作者单位: Department of Computer Science Chongqing University Chongqing, P.R. China

会议类型: 国际会议

会议名称: 2010年IEEE多媒体信息网络与安全国际会议

会议地点: 南京

会议语种:英文

页码: 611-615

在线出版日期: 2010-11-01（万方平台首次上网日期，不代表论文的发表时间）