DocumentCode
1704392
Title
Constructing Classification Model with MapReduce
Author
Chen, Xiangxiang ; Wu, Kaigui ; Wu, Changze
Author_Institution
Dept. of Comput. Sci., Chongqing Univ., Chongqing, China
fYear
2010
Firstpage
611
Lastpage
615
Abstract
Abstract-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.
Keywords
data mining; parallel programming; pattern classification; text analysis; MapReduce computing; classification model; computational time reduction; distributed computing; larger scale document; parallel computing; Arrays; Classification algorithms; Computational modeling; Data mining; Feature extraction; Training; Training data; Keywords-classification; MapReduce; distributed computing; model; parallel;
fLanguage
English
Publisher
ieee
Conference_Titel
Multimedia Information Networking and Security (MINES), 2010 International Conference on
Conference_Location
Nanjing, Jiangsu
Print_ISBN
978-1-4244-8626-7
Electronic_ISBN
978-0-7695-4258-4
Type
conf
DOI
10.1109/MINES.2010.134
Filename
5671056
Link To Document