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首页> 外文会议>2017 International Conference on Advances in Computing, Communication and Control >Fuzzy clustering algorithm intended for mining software services on the cloud
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Fuzzy clustering algorithm intended for mining software services on the cloud

机译：用于在云上挖掘软件服务的模糊聚类算法

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摘要

In the current technological era, the use of computers becomes an essential part of our life. The Internet has been become as mandatory in the human-being life. The cloud computing has the potential to transform the current static Internet into a fully integrated future Internet. It is a style of computing in which resources are provided “as a service” to users who need not have knowledge or expertise and or control over the infrastructure. The cloud computing technology has become a popular and necessary in the present decade. The cloud computing is the way of sharing resources for the use of various resources via the internet. Hence there are many cloud service providers are competing with each other in order to provide cloud services to the cloud users. In fact, the growth of cloud users has been increased tremendously from last decade to the present decade. In directives to provide right cloud service to users is aimed at almost all cloud service providers. The cloud service providers are also increasing many features of their cloud service products to attract the cloud service users. But cloud service users are facing difficulties to select the right service from a pool of cloud services. Hence it has become necessary for cloud service users to evaluate cloud services and select the best one, for this purpose a new evaluation model has been proposed in this paper based on data mining Fuzzy clustering algorithm.
机译：在当前的技术时代，使用计算机已成为我们生活中必不可少的一部分。互联网已成为人类生活中的强制性手段。云计算具有将当前的静态Internet转变为完全集成的未来Internet的潜力。这是一种计算方式，其中将资源“作为服务”提供给不需要知识或专业知识和/或控制基础结构的用户。在当前的十年中，云计算技术已经成为一种流行和必需的技术。云计算是通过互联网共享资源以使用各种资源的方式。因此，有许多云服务提供商相互竞争以向云用户提供云服务。实际上，从过去的十年到现在的十年间，云用户的增长已大大增加。在向用户提供正确的云服务的指令中，几乎针对所有云服务提供商。云服务提供商还增加了其云服务产品的许多功能，以吸引云服务用户。但是云服务用户面临着从云服务池中选择正确的服务的困难。因此，云服务用户有必要评估云服务并选择最佳服务，为此，本文提出了一种基于数据挖掘模糊聚类算法的评估模型。

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