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First International Workshop on Knowledge Discovery and Data Mining (WKDD 2008)
Researches on Diffusion Model of MNCs' Distributed Innovation
Adelaide, Australia
January 23-January 24
ISBN: 0-7695-3090-7
ASCII Text
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Xiaoqin Gao, Guoxin Liu, "Researches on Diffusion Model of MNCs' Distributed Innovation," International Workshop on Knowledge Discovery and Data Mining, pp. 436-439, First International Workshop on Knowledge Discovery and Data Mining (WKDD 2008), 2008.
 
 
BibTex
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@article{ 10.1109/WKDD.2008.115,
author = {Xiaoqin Gao and Guoxin Liu},
title = {Researches on Diffusion Model of MNCs' Distributed Innovation},
journal ={International Workshop on Knowledge Discovery and Data Mining},
volume = {0},
year = {2008},
isbn = {0-7695-3090-7},
pages = {436-439},
doi = {http://doi.ieeecomputersociety.org/10.1109/WKDD.2008.115},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - International Workshop on Knowledge Discovery and Data Mining
TI - Researches on Diffusion Model of MNCs' Distributed Innovation
SN - 0-7695-3090-7
SP436
EP439
A1 - Xiaoqin Gao,
A1 - Guoxin Liu,
PY - 2008
VL - 0
JA - International Workshop on Knowledge Discovery and Data Mining
ER -
 
Along with globalization and fast development of knowledge economy and informatization, many MNCs and large enterprises explore and practice distributed innovation actively beside their global production and operation. This article discusses about the model and law of development of distributed innovation diffusion, as well as showing the dynamic characteristics of distributed innovation diffusion. Meanwhile, the above diffusion model is used to research RP technique, and set up RP technical diffusion model, whose popularization state can be anticipated, thus provides a reference for the popularization and application of RP technique in our China.
Citation:
Xiaoqin Gao, Guoxin Liu, "Researches on Diffusion Model of MNCs' Distributed Innovation," wkdd, pp.436-439, First International Workshop on Knowledge Discovery and Data Mining (WKDD 2008), 2008
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