Distributed data mining a survey

Authors: Li Zeng Ling Li Lian Duan Kevin Lu Zhongzhi Shi Maoguang Wang Wenjuan Wu Ping Luo

Publish Date: 2012/05/17

Volume: 13, Issue: 4, Pages: 403-409

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Abstract

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 WalMart 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 thestateoftheart algorithms and applications in distributed data mining and discuss the future research opportunitiesThis work is partially supported by the Chinese Academy of Sciences under Grant No 20040402 Changjiang Scholar Program of the Ministry of Education of China National Natural Science Foundation of China under Grant No 71132008 US National Science Foundation under Grant No 1044845

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