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How Reliable Is Your Outsourcing Service for Data Mining? A Metamorphic Method for Verifying the Result Integrity

机译:您的外包服务如何获得数据挖掘?一种验证结果完整性的变质方法

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Association rules mining is an important and classic research topic in Data Mining, and has been widely applied in many real-life cases. The primary time and memory consumption in association rules mining is from its first step - frequent itemsets mining. With the development of cloud computing, outsourcing this task to third-party service providers will save efforts in system development, deployment, operation, etc. Outsourcing, however, actually brings risks and difficulties in verifying the results returned by these services. In this paper, we focus on verifying the integrity of the results returned by outsourcing services. We propose a metamorphic-based method, which is light-weight and requires not much complicated process. The key point of our method is the construction of a set of metamorphic relations (MRs). Through analysis and experimental research, we show that our approach delivers quite satisfactory results.
机译:协会规则挖掘是数据挖掘中的一个重要和经典的研究课题,并且已广泛应用于许多现实生活案例。关联规则挖掘中的主要时间和内存消耗来自其第一步频繁的项目集。随着云计算的发展,将此任务外包给第三方服务提供商将节省系统开发,部署,操作等外包的工作实际上在验证这些服务返回的结果方面的风险和困难会产生风险和困难。在本文中,我们专注于验证外包服务返回的结果的完整性。我们提出了一种基于变质的方法,它是轻量的,并且需要不多的复杂过程。我们方法的关键点是构建一组变质关系(MRS)。通过分析和实验研究,我们表明我们的方法提供了非常满意的结果。

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