A Study On Implementation of Cloud Computing Technology using Data Mining Algorithms

Aljwhrh Almtrf, M. Zohdy
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引用次数: 1

Abstract

There are some implementation stuck and flexibility issues when standard data mining structure is utilized as a bit of appropriated figuring. In this paper, we introduce an information mining stage in context of Cloud Computing innovation. Separated and a standard information mining structure, this stage is altogether adaptable, has gigantic information managing capacitiesˈ is advantage masterminded, and has low equipment cost. This stage can bolster the outline and livelihoods of an expansive variety of dispersed information mining frameworks. In this paper we will think about on huge information mining and extraordinary process and data taking care of limits of dispersed registering give extreme help to information mining. Through the examination of the information mining and the appropriated registering development, in this paper, new idea to design the association rule mining algorithm along with MapReduce parallel processing architecture is introduced. An experimental investigation on this idea is carried out. In recent times, Aneka Cloud Strategy is becoming a well utilized cloud strategy worldwide and it will be discussed.
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利用数据挖掘算法实现云计算技术的研究
当使用标准数据挖掘结构作为适当的计算时,存在一些实现卡和灵活性问题。本文介绍了云计算创新背景下的信息挖掘阶段。该平台采用独立的、标准的信息挖掘结构,具有整体适应性强、信息管理能力强、易于策划、设备成本低等优点。这个阶段可以支持各种分散的信息挖掘框架的轮廓和生计。本文将考虑对海量信息的挖掘以及异常过程和数据的处理,考虑到分散注册的局限性,为信息挖掘提供极大的帮助。本文通过对信息挖掘和适当注册发展的考察,介绍了基于MapReduce并行处理架构的关联规则挖掘算法设计的新思路。对这一思想进行了实验研究。最近,Aneka云策略正在成为全球范围内使用良好的云策略,我们将对其进行讨论。
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