会议专题

Constructing Classification Model with MapReduce

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.

classification MapReduce parallel distributed computing model

Xiangxiang Chen Kaigui Wu Changze Wu

Department of Computer Science Chongqing University Chongqing, P.R. China

国际会议

2010年IEEE多媒体信息网络与安全国际会议

南京

英文

611-615

2010-11-01(万方平台首次上网日期,不代表论文的发表时间)