Demand unconstraining estimation based on big data warehouse in revenue management systems:framework and challenges

In order to achieve and exam the unconstrained demand data related to each customer in real time and dynamically from both internal and external data resources,including structured and unstructured information,a big data warehouse framework for demand unconstraining estimation in revenue management...

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Main Author: Peng GUO
Format: Article
Language:zho
Published: China InfoCom Media Group 2017-05-01
Series:大数据
Subjects:
Online Access:http://www.j-bigdataresearch.com.cn/thesisDetails#10.11959/j.issn.2096-0271.2017031
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author Peng GUO
author_facet Peng GUO
author_sort Peng GUO
collection DOAJ
description In order to achieve and exam the unconstrained demand data related to each customer in real time and dynamically from both internal and external data resources,including structured and unstructured information,a big data warehouse framework for demand unconstraining estimation in revenue management was proposed.After that,the challenges in unconstrained demand knowledge mining,as well as the process of development and application of business intelligence analysis tools for demand unconstraining estimation were discussed.
format Article
id doaj-art-16bbff93bedc4ec2bcbf8ee6a73fce6a
institution OA Journals
issn 2096-0271
language zho
publishDate 2017-05-01
publisher China InfoCom Media Group
record_format Article
series 大数据
spelling doaj-art-16bbff93bedc4ec2bcbf8ee6a73fce6a2025-08-20T02:09:14ZzhoChina InfoCom Media Group大数据2096-02712017-05-013201703159527124Demand unconstraining estimation based on big data warehouse in revenue management systems:framework and challengesPeng GUOIn order to achieve and exam the unconstrained demand data related to each customer in real time and dynamically from both internal and external data resources,including structured and unstructured information,a big data warehouse framework for demand unconstraining estimation in revenue management was proposed.After that,the challenges in unconstrained demand knowledge mining,as well as the process of development and application of business intelligence analysis tools for demand unconstraining estimation were discussed.http://www.j-bigdataresearch.com.cn/thesisDetails#10.11959/j.issn.2096-0271.2017031revenue management;demand forecasting;unconstraining estimation;data warehouse;big data;business intelligence;sentiment analysis
spellingShingle Peng GUO
Demand unconstraining estimation based on big data warehouse in revenue management systems:framework and challenges
大数据
revenue management;demand forecasting;unconstraining estimation;data warehouse;big data;business intelligence;sentiment analysis
title Demand unconstraining estimation based on big data warehouse in revenue management systems:framework and challenges
title_full Demand unconstraining estimation based on big data warehouse in revenue management systems:framework and challenges
title_fullStr Demand unconstraining estimation based on big data warehouse in revenue management systems:framework and challenges
title_full_unstemmed Demand unconstraining estimation based on big data warehouse in revenue management systems:framework and challenges
title_short Demand unconstraining estimation based on big data warehouse in revenue management systems:framework and challenges
title_sort demand unconstraining estimation based on big data warehouse in revenue management systems framework and challenges
topic revenue management;demand forecasting;unconstraining estimation;data warehouse;big data;business intelligence;sentiment analysis
url http://www.j-bigdataresearch.com.cn/thesisDetails#10.11959/j.issn.2096-0271.2017031
work_keys_str_mv AT pengguo demandunconstrainingestimationbasedonbigdatawarehouseinrevenuemanagementsystemsframeworkandchallenges