Research on Improved Apriori Algorithm Based on Coding and MapReduce

被引：12
|
作者：
Guo, Jian [1 ]
Ren, Yong-gong [1 ]
机构：
[1] Liaoning Normal Univ, Sch Comp & Informat Technol, Dalian, Peoples R China
来源：
2013 10TH WEB INFORMATION SYSTEM AND APPLICATION CONFERENCE (WISA 2013) | 2013年
关键词：
cloud computing; Hadoop; Hbase; Apriori algorithm; book sales;
D O I：
10.1109/WISA.2013.62
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Based on the column-oriented database called Hbase, by using a distributed file system HDFS in Hadoop as the underlying storage system, and utilizing Map/Reduce data programming model as a distributed data processing engine, this paper proposes an improved Apriori algorithm based on coding and Map/Reduce (CMR-Apriori) which is able to process data in distributed cloud computing environment and is applicable in book sales system. Results of this study demonstrate that the system is capable of realizing various functions such as fast-analysis, low redundancy, and exhibiting good performance in terms of interactivity, scalability and high reliability.
引用
收藏
页码：294 / 299
页数：6
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