A summarization paradigm for big data
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سال
: 2014شناسه الکترونیک: 10.1109/ICC.2014.6883722
کلیدواژه(گان): cellular radio,n evolutionary computation,n statistical analysis,n CSO,n cell switch-off,n cellular communications,n dense cellular networks,n green communications paradigm,n novel multiobjective evolutionary optimization framework,n optimization problem,n resource allocation problem,n statistical information,n traffic behaviour,n weighted network capacity metric,n wireless networks,n Interference,n Mobile communication,n Optimization,n Quali
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A summarization paradigm for big data
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contributor author | Shah, Zubair | |
contributor author | Mahmood, Abdun Naser | |
date accessioned | 2020-03-12T22:21:23Z | |
date available | 2020-03-12T22:21:23Z | |
date issued | 2014 | |
identifier other | 7004494.pdf | |
identifier uri | http://libsearch.um.ac.ir:80/fum/handle/fum/1080176 | |
format | general | |
language | English | |
publisher | IEEE | |
title | A summarization paradigm for big data | |
type | Conference Paper | |
contenttype | Metadata Only | |
identifier padid | 8216555 | |
subject keywords | cellular radio | |
subject keywords | n evolutionary computation | |
subject keywords | n statistical analysis | |
subject keywords | n CSO | |
subject keywords | n cell switch-off | |
subject keywords | n cellular communications | |
subject keywords | n dense cellular networks | |
subject keywords | n green communications paradigm | |
subject keywords | n novel multiobjective evolutionary optimization framework | |
subject keywords | n optimization problem | |
subject keywords | n resource allocation problem | |
subject keywords | n statistical information | |
subject keywords | n traffic behaviour | |
subject keywords | n weighted network capacity metric | |
subject keywords | n wireless networks | |
subject keywords | n Interference | |
subject keywords | n Mobile communication | |
subject keywords | n Optimization | |
subject keywords | n Quali | |
identifier doi | 10.1109/ICC.2014.6883722 | |
journal title | ig Data (Big Data), 2014 IEEE International Conference on | |
filesize | 1268337 | |
citations | 0 |