Distributed data mining: a survey

被引：0
|
作者：
Li Zeng
Ling Li
Lian Duan
Kevin Lu
Zhongzhi Shi
Maoguang Wang
Wenjuan Wu
Ping Luo
机构：
[1] Chinese Academy of Sciences,Institute of Computing Technology
[2] Old Dominion University,School of Information
[3] New Jersey Institute of Technology,undefined
[4] Brunel University,undefined
[5] Remin University of China,undefined
来源：
Information Technology and Management | 2012年 / 13卷
关键词：
Data mining; Business intelligence; Business analytics; Decision support systems; Distributed systems; Literature review;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Most data mining approaches assume that the data can be provided from a single source. If data was produced from many physically distributed locations like Wal-Mart, these methods require a data center which gathers data from distributed locations. Sometimes, transmitting large amounts of data to a data center is expensive and even impractical. Therefore, distributed and parallel data mining algorithms were developed to solve this problem. In this paper, we survey the-state-of-the-art algorithms and applications in distributed data mining and discuss the future research opportunities.
引用
收藏
页码：403 / 409
页数：6
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