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A catallactic market for data mining services

机译:数据挖掘服务的分类市场

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We describe a Grid market for exchanging data mining services based on the catallactic market mechanism proposed by von Hayek. This market mechanism allows selection between multiple instances of services based on operations required in a data mining task (such as data migration, data pre-processing and subsequently data analysis). Catallaxy is a decentralized approach, based on a "free market" mechanism, and is particularly useful when the number of market participants is large or when conditions within the market often change. It is therefore particularly suitable in Grid and peer-2-peer systems. The approach assumes that the service provider and user are not co-located, and require multiple message exchanges to carry out a data mining task. A market of J48-based decision tree algorithm instances, each implemented as a Web service, is used to demonstrate our approach. We have validated the feasibility of building catallactic data mining grid applications, and implemented a proof-of-concept application (Cat-COVITE) mapped to a catallactic Grid middleware. (C) 2006 Elsevier B.V. All rights reserved.
机译:我们根据冯·海耶克(von Hayek)提出的催化市场机制描述了一个用于交换数据挖掘服务的网格市场。这种市场机制允许根据数据挖掘任务中所需的操作(例如数据迁移,数据预处理和随后的数据分析)在多个服务实例之间进行选择。类别分类法是一种基于“自由市场”机制的分散式方法,在市场参与者人数众多或市场条件经常变化时特别有用。因此,它特别适用于Grid和对等2对等系统。该方法假定服务提供者和用户不在同一位置,并且需要进行多次消息交换才能执行数据挖掘任务。基于J48的决策树算法实例市场(每个都作为Web服务实现)用于演示我们的方法。我们已经验证了构建分类策略数据挖掘网格应用程序的可行性,并实现了映射到分类策略网格中间件的概念验证应用程序(Cat-COVITE)。 (C)2006 Elsevier B.V.保留所有权利。

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