Prescriptive Analytics for Big Data

被引:27
作者
Soltanpoor, Reza [1 ]
Sellis, Timos [2 ]
机构
[1] RMIT Univ, Melbourne, Vic, Australia
[2] Swinburne Univ Technol, Melbourne, Vic, Australia
来源
DATABASES THEORY AND APPLICATIONS, (ADC 2016) | 2016年 / 9877卷
关键词
Prescriptive analytics; Descriptive analytics; Predictive analytics; Big data;
D O I
10.1007/978-3-319-46922-5_19
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Prescriptive analytics is considered as the next frontier in the area of business analytics. It provides organizations with adaptive, automated, and time-dependent courses of actions to take advantage of likely business opportunities. Given enterprises' objectives, prescriptive analytics assists them maximize their business values and at the same time mitigates their likely risks by recommending optimal sequences of actions. In this work, a federated prescriptive analytics framework comprising descriptive, predictive and prescriptive components is proposed. The framework also links the extracted insight from the data to their pertinent generated actions. Finally, a few indicative use cases are presented to indicate the necessity of this new analytics paradigm.
引用
收藏
页码:245 / 256
页数:12
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