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Extension Grid Service Mining with Faith Classification

机译:具有信念分类的扩展网格服务挖掘

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摘要

A novel grid service mining faith classification model is proposed in this paper. There are seas of services in the grid How to mine a service effectively is one of the hot fields of study. Based on the extension theory,in the dissertation,the services are represented in matter-elements,the relationship between key words and the information of grid services is built up,and through transportation the returned results are classified in different faith. The higher faith class means that the rerurned service is more accurate. According to the proposed model,we propose an algorithm to descript the service mining procedure. The experiment results show that the mining results are in different class with different faith. This article does great contribution to grid service mining and extension theory.
机译:提出了一种新颖的网格服务挖掘信念分类模型。网格中有无数的服务如何有效地开发服务是研究的热点之一。基于可扩展性理论,本文将服务以物质元素表示,建立关键词与网格服务信息之间的关系,并通过运输将返回结果归类为不同的信念。较高的信誉等级意味着重新提供服务的准确性更高。根据提出的模型,提出了一种描述服务挖掘过程的算法。实验结果表明,挖掘结果属于不同类别,具有不同的信念。本文为网格服务挖掘和扩展理论做出了巨大贡献。

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