Research on data mining clustering algorithm in cloud computing environments

Xi Liu; Xiumei Zhang; Xiyong Li; Zhengguang Sun

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Research on data mining clustering algorithm in cloud computing environments

机译：云计算环境中的数据挖掘聚类算法研究

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Cloud computing is a model of business computing and it distribute computing tasks in a resource pool which constitutes by a large computers, so it can provide users with ondemand computing power, storage capacity and application service capabilities. The cloud computing provides cheap and efficient solutions for massive data storage and analysis. Data mining is finding potentially useful information and knowledge people do not know in advance from a large number of incomplete, noisy, fuzzy, random practical application data. And it played a guiding role in many areas of scientific research and business decisions, with far-reaching social and economic significance. The research on data mining clustering algorithm in cloud computing environments has an important theoretical significance and application value.

机译：云计算是业务计算的模型，它将计算任务分配在由大型计算机组成的资源池中，因此它可以为用户提供按需计算能力，存储容量和应用程序服务能力。云计算为海量数据存储和分析提供了便宜而有效的解决方案。数据挖掘正在从大量不完整，嘈杂，模糊，随机的实际应用数据中发现人们可能事先不知道的潜在有用信息和知识。它在科学研究和商业决策的许多领域中起着指导作用，具有深远的社会和经济意义。云计算环境下数据挖掘聚类算法的研究具有重要的理论意义和应用价值。

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来源
《BioTechnology: An Indian Journal》 |2014年第17期|共5页
作者
Xi Liu; Xiumei Zhang; Xiyong Li; Zhengguang Sun;
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中图分类生物工程学（生物技术）;
关键词
Cloud computingData miningClustering algorithm;

机译：云计算数据挖掘聚类算法;

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1. A NEW ALGORITHM OF THE DATA MINING MODEL IN CLOUD COMPUTING BASED ON WEB FUZZY CLUSTERING ANALYSIS [J] . XIANFENG YANG, PENGFEI LIU Journal of Theoretical and Applied Information Technology . 2013,第1期

机译：一种基于Web模糊聚类分析的云计算数据挖掘模型的新算法
2. Accelerated algorithm for intelligent mining of communication data in cloud computing environment [J] . Jiang Xiao-ling, Zhang Hui Web Intelligence . 2020,第2期

机译：云计算环境中通信数据智能挖掘加速算法
3. Efficient parallel spectral clustering algorithm design for large data sets under cloud computing environment [J] . Ran Jin, Chunhai Kou, Ruijuan Liu, Journal of Cloud Computing: Advances, Systems and Applications . 2013,第1期

机译：云计算环境下大数据集的高效并行频谱聚类算法设计
4. Research and application on algorithms of data mining for EMU malfunction's data under a cloud computing environment [C] . C. Zhang, H. Hu International Conference on Artificial Intelligence and Industrial Application . 2015

机译：云计算环境下EMU故障数据挖掘算法的研究与应用
5. Scalable parallel computing on clouds: Efficient and scalable architectures to perform pleasingly parallel, MapReduce and iterative data intensive computations on cloud environments. [D] . Gunarathne, Thilina. 2014

机译：云上的可伸缩并行计算：高效且可伸缩的架构，可在云环境上执行令人满意的并行，MapReduce和迭代式数据密集型计算。
6. Modified Immune Evolutionary Algorithm for Medical Data Clustering and Feature Extraction under Cloud Computing Environment [O] . Jing Yu, Hang Li, Desheng Liu 2020

机译：云计算环境下医学数据聚类和特征提取的改进免疫进化算法
7. Design of data mining model based on improved manifold learning algorithm in cloud computing environment [O] . Zhan-kun Zhao 2017

机译：基于云计算环境改进的歧管学习算法的数据挖掘模型设计
8. West Virginia US Department of Energy experimental program to stimulate competitive research. Section 2: Human resource development; Section 3: Carbon-based structural materials research cluster; Section 3: Data parallel algorithms for scientific computing [R] . 1994

机译：西弗吉尼亚州美国能源部实验计划，以刺激竞争研究。第2节：人力资源开发;第3节：碳基结构材料研究集群;第3节：科学计算的数据并行算法

Research on data mining clustering algorithm in cloud computing environments

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