A SVM-based Multi-dimension Factor Decision-making Model Framework

被引：0

作者：

Nie, Peng ^{[1
]}

机构：

[1] Jiangxi Univ Finance & Econ, Nanchang 330013, Jiangxi, Peoples R China

来源：

2016 INTERNATIONAL CONFERENCE ON APPLIED MECHANICS, ELECTRONICS AND MECHATRONICS ENGINEERING (AMEME 2016) | 2016年

关键词：

Cloud-desktop; Software estimation; SVM; Classification; RELIABILITY;

D O I：

暂无

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

The cloud-desktop based on the virtual desktop infrastructure (VDI) is deployed more often as the advanced mobile office solution. However, it is an assignable challenge to choose a fit VDI product at low cost for too many testing features to be investigated. In this paper, we proposed a SVM-based multi-dimension factor decision-making model framework (SMFDMF) for the VDI-based cloud-desktop application evaluation. SMFDMF is highly data adaptive, applies and is able to account for correlation as well as interactions among features. This makes SMFDMF particularly appealing for high-dimensional cloud-desktop testing feature analysis. The experiment results show that our SMFDMF is workable, easy to implement and result in good estimation accuracies.

引用

页码：89 / 94

页数：6

共 9 条

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