Design of models for the selection of the suitable platform in the area of data analysis

P. Michalik, I. Zolotová
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引用次数: 2

Abstract

This paper deals with the design of models that form the basis for Decision Support System (DSS) supporting suitable solutions of data analysis. DSS will be in the form of web application in order to bring the most practical solution. The design of these algorithms is only one of the five stages of the research in field of data analysis. That means, the other stages will be described in this article only marginally - mapping the currents situation in this IT field, identification of parameters entering into the designed models, implementation of web application and verification of DSS using case studies. For each of these areas, a separate paper will be published later. Models presented in this article are ranked from the simplest to the most complex, in each case, the algorithm is demonstrated on a model example. DSS itself, which is the output of all research should facilitate decision of organizations about selecting a suitable analytical environment, application or platform. In other words, if the company has some amount of data and does not know what to do next. The only one thing the organization knows is the fact that data are a source of knowledge and time precious.
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设计模型,为数据分析领域选择合适的平台
本文讨论了为决策支持系统(DSS)提供合适的数据分析解决方案的基础模型的设计。决策支持系统将以web应用的形式带来最实用的解决方案。这些算法的设计只是数据分析领域研究的五个阶段之一。这意味着,其他阶段在本文中只会略微描述-绘制该IT领域的现状,识别进入设计模型的参数,实现web应用程序以及使用案例研究验证DSS。对于这些领域中的每一个,稍后将分别发表一篇论文。本文中给出的模型从最简单到最复杂进行了排序,在每种情况下,算法都在一个模型示例上进行了演示。决策支持系统本身是所有研究的结果,它应该有助于组织选择合适的分析环境、应用程序或平台的决策。换句话说,如果公司有一定量的数据,不知道下一步该做什么。组织所知道的唯一一件事就是数据是宝贵的知识和时间的来源。
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