Data Mining Algorithm Implementation and Its Application in Parallel Cloud System based on C＋＋

. This paper conducts the analysis on the data mining algorithm implementation and its application in parallel cloud system based on C＋＋. With the increase in the number of the cloud computing platform developers, with the use of cloud computing platform to support the growth of the number of Internet users, the system is also the proportion of log data growth. At present applies in the colony environment many is the news transmission model. In takes in the rest transmission model, between each concurrent execution part exchanges the information, and the coordinated step and the control execution through the transmission news. As for the C＋＋ in the data mining applications, it should ？ rstly hold the following features. Parallel communication and serial communication are two basic ways of general communication. Under this basis, this paper proposes the novel perspective on the data mining algorithm implementation and its application in parallel cloud system based on C＋＋. The later research will be focused on the code based implementation.

并行算法研究方法学

并行算法是计算机科学中重要的研究内容,已有几十年的发展历程.回顾一下其研究历程,既有高潮也有低谷,究其原因是,它没有形成自身的一套研究方法学.为此文中提出并行算法研究要建立起一套完整的"理论-设计-实现-应用"的学科体系,也就是所谓的并行算法研究的生态环境.只有这样才能够保持并行算法研究稳定、可持续发展,并使得并行算法的研究成果更加实用,从而更富有生命力.

快速稀疏表示指背关节纹识别及其并行实现

研究了基于平滑l0范数的稀疏表示模型的指背关节纹识别方法。首先,对训练样本进行超完备字典的构建,然后采用局部二元模式进行特征提取与降维,平滑l0范数对其进行求解,加速识别过程,提高识别效率及性能。最后,探讨了该稀疏模型的并行实现模型,并给出了相关实验结果。在香港理工大学指背关节数据库(FKP Database)上的实验表明,所提方法具有较高的识别率,具有良好的实际应用价值。