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APHID: An architecture for private, high-performance integrated data mining

机译：APHID：一种用于私有高性能集成数据挖掘的体系结构

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摘要

While the emerging field of privacy preserving data mining (PPDM) will enable many new data mining applications, it suffers from several practical difficulties. PPDM algorithms are challenging to develop and computationally intensive to execute. Developers need convenient abstractions to simplify the engineering of PPDM applications. The individual parties involved in the data mining process need a way to bring high-performance, parallel computers to bear on the computationally intensive parts of the PPDM tasks. This paper discusses APHID (Architecture for Private and High-performance Integrated Data mining), a practical architecture and software framework for developing and executing large scale PPDM applications. At one tier, the system supports simplified use of cluster and grid resources, and at another tier, the system abstracts communication for easy PPDM algorithm development. This paper offers a detailed analysis of the challenges in developing PPDM algorithms with existing frameworks, and motivates the design of a new infrastructure based on these challenges.
机译：虽然隐私保护数据挖掘（PPDM）的新兴领域将使许多新的数据挖掘应用程序成为可能，但它却遇到了一些实际困难。 PPDM算法开发难度很大，执行起来计算量很大。开发人员需要方便的抽象来简化PPDM应用程序的工程设计。数据挖掘过程中涉及的各个方面都需要一种方法来使高性能的并行计算机承担PPDM任务中计算量大的部分。本文讨论了APHID（专用和高性能集成数据挖掘体系结构），这是一种用于开发和执行大规模PPDM应用程序的实用体系结构和软件框架。在一个层上，系统支持简化对群集和网格资源的使用，在另一层上，系统对通信进行抽象，以简化PPDM算法的开发。本文详细分析了使用现有框架开发PPDM算法时遇到的挑战，并根据这些挑战激励设计新的基础架构。

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  • 来源
    《Future generation computer systems》 |2010年第7期|P.891-904|共14页
  • 作者

    Jimmy Secretan; Michael Georgiopoulos; Anna Koufakou; Kel Cardona;

  • 作者单位

    School of Electrical Engineering and Computer Science, University of Central Florida, Orlando, FL 32816, United States;

    School of Electrical Engineering and Computer Science, University of Central Florida, Orlando, FL 32816, United States;

    School of Electrical Engineering and Computer Science, University of Central Florida, Orlando, FL 32816, United States;

    Department of Computer Engineering, University of Puerto Rico, PR, United States;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    data mining; privacy; distributed architectures;

    机译：数据挖掘;隐私;分布式架构;

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