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Issue No.04 - July/August (2006 vol.10)
pp: 15-17
Anup Kumar , University of Louisville
Mehmed Kantardzic , University of Louisville
Samuel Madden , Massachusetts Institute of Technology
It is now possible to gather and store incredible volumes of data, creating opportunities for large-scale data-driven knowledge discovery. Data mining technology has emerged as a means of performing this discovery, and the added dimension of distributed data mining increases this process's complexity.
distributed data mining, knowledge discovery, data-driven technology
Anup Kumar, Mehmed Kantardzic, Samuel Madden, "Guest Editors' Introduction: Distributed Data Mining--Framework and Implementations", IEEE Internet Computing, vol.10, no. 4, pp. 15-17, July/August 2006, doi:10.1109/MIC.2006.79
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