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Towards a Reuse Strategic Decision Pattern Framework - from Theories to Practices

机译:建立重用的战略决策模式框架-从理论到实践

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摘要

This paper demonstrates our proposed Reuse Strategic Decision Pattern Framework (RSDPF) based on blending ANP and TOPSIS techniques, enabled by the OSM model with data analytics. The motivation, related work, theory, the use and deployment, and the service deployment of the framework have been discussed in details. In this paper, RSDPF framework is demonstrated by the data analysis and interpretations based on a financial service firm. The OSM model allows 3step of processed to be performed in one go to perform statistical tests, identify linear relations, check consistency on dataset and calculate OLS regression. The aim is to identify the actual, expected and risk rates of profitability. Code and services can be reused to compute for analysis. Service integration of the RSDPF framework has been demonstrated. Results confirm that there is a high extent of reliability. In this paper, we have demonstrated the reuse and integration of the framework supported by the case study of the financial service firm with its data analysis and service to justify our research contributions - reuse and integration in statistical data mining, knowledge and heuristic discovery and finally domain transference.
机译:本文演示了我们提出的基于ANP和TOPSIS技术融合的,通过OSM模型与数据分析实现的重用战略决策模式框架(RSDPF)。对该框架的动机,相关工作,理论,使用和部署以及服务部署进行了详细讨论。本文通过对一家金融服务公司的数据分析和解释来说明RSDPF框架。 OSM模型允许一次性执行3个步骤的处理,以执行统计测试,识别线性关系,检查数据集的一致性并计算OLS回归。目的是确定获利的实际,预期和风险率。代码和服务可以重复使用以进行计算以进行分析。已经演示了RSDPF框架的服务集成。结果证实了高度的可靠性。在本文中,我们展示了金融服务公司案例研究所支持的框架的重用和集成及其数据分析和服务,以证明我们的研究贡献是正确的-统计数据挖掘,知识和启发式发现中的重用和集成以及最终域转移。

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