期刊
INFORMATION TECHNOLOGY & MANAGEMENT
卷 13, 期 4, 页码 403-409出版社
SPRINGER
DOI: 10.1007/s10799-012-0124-y
关键词
Data mining; Business intelligence; Business analytics; Decision support systems; Distributed systems; Literature review
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.
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