Optimization of Advertising Budget Allocation Over Time Based on LS-SVMR and DE
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: 2014شناسه الکترونیک: 10.1109/TASE.2013.2279801
کلیدواژه(گان): budgeting,evolutionary computation,least squares approximations,regression analysis,support vector machines,DE,LS-SVMR,advertising budget allocation problem,decision variables,differential evolution,evolutionary computation,financial service,least squares support vector machine regression,market response model,planning horizon,regression method,statistical learning,Advertising,Evolutionary computation,Least squares methods,Optimization,Resource management,Support vector mac
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Optimization of Advertising Budget Allocation Over Time Based on LS-SVMR and DE
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contributor author | Dapeng Niu | |
contributor author | Ying Sun | |
contributor author | Fuli Wang | |
date accessioned | 2020-03-12T18:28:18Z | |
date available | 2020-03-12T18:28:18Z | |
date issued | 2014 | |
identifier issn | 1545-5955 | |
identifier other | 6601736.pdf | |
identifier uri | https://libsearch.um.ac.ir:443/fum/handle/fum/959616 | |
format | general | |
language | English | |
publisher | IEEE | |
title | Optimization of Advertising Budget Allocation Over Time Based on LS-SVMR and DE | |
type | Journal Paper | |
contenttype | Metadata Only | |
identifier padid | 7992202 | |
subject keywords | budgeting | |
subject keywords | evolutionary computation | |
subject keywords | least squares approximations | |
subject keywords | regression analysis | |
subject keywords | support vector machines | |
subject keywords | DE | |
subject keywords | LS-SVMR | |
subject keywords | advertising budget allocation problem | |
subject keywords | decision variables | |
subject keywords | differential evolution | |
subject keywords | evolutionary computation | |
subject keywords | financial service | |
subject keywords | least squares support vector machine regression | |
subject keywords | market response model | |
subject keywords | planning horizon | |
subject keywords | regression method | |
subject keywords | statistical learning | |
subject keywords | Advertising | |
subject keywords | Evolutionary computation | |
subject keywords | Least squares methods | |
subject keywords | Optimization | |
subject keywords | Resource management | |
subject keywords | Support vector mac | |
identifier doi | 10.1109/TASE.2013.2279801 | |
journal title | Automation Science and Engineering, IEEE Transactions on | |
journal volume | 11 | |
journal issue | 4 | |
filesize | 948095 | |
citations | 0 |