收益管理中基于大数据仓库的需求无约束估计：框架与挑战

doi:10.11959/j.issn.2096-0271.2017031

Abstract

Abstract:

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.

Key words: revenue management, demand forecasting, unconstraining estimation, data warehouse, big data, business intelligence, sentiment analysis

CLC Number:

Peng GUO. Demand unconstraining estimation based on big data warehouse in revenue management systems:framework and challenges[J]. Big Data Research, 2017, 3(3): 68-83.

Figures/Tables 3

References 70

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