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July/August 2006 (vol. 10 no. 4)
pp. 15-17
| ASCII Text | x | ||
| 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. | |||
| BibTex | x | ||
| @article{ 10.1109/MIC.2006.79, author = {Anup Kumar and Mehmed Kantardzic and Samuel Madden}, title = {Guest Editors' Introduction: Distributed Data Mining--Framework and Implementations}, journal ={IEEE Internet Computing}, volume = {10}, number = {4}, issn = {1089-7801}, year = {2006}, pages = {15-17}, doi = {http://doi.ieeecomputersociety.org/10.1109/MIC.2006.79}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, } | |||
| RefWorks Procite/RefMan/Endnote | x | ||
| TY - MGZN JO - IEEE Internet Computing TI - Guest Editors' Introduction: Distributed Data Mining--Framework and Implementations IS - 4 SN - 1089-7801 SP15 EP17 EPD - 15-17 A1 - Anup Kumar, A1 - Mehmed Kantardzic, A1 - Samuel Madden, PY - 2006 KW - distributed data mining KW - knowledge discovery KW - data-driven technology VL - 10 JA - IEEE Internet Computing ER - | |||
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/MIC.2006.79
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.
Index Terms:
distributed data mining, knowledge discovery, data-driven technology
Citation:
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-Aug. 2006, doi:10.1109/MIC.2006.79
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