面向服务计算中的高效用项集挖掘研究:电子商务中知识即服务的部署

S. Kannimuthu, K. Premalatha, S. Shankar
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引用次数: 9

摘要

在本文中,我们探索了一种面向服务的计算(SOC)范式,该范式利用效用挖掘方法将知识作为服务提供。提供知识的基本思想是通过web服务完成的,在web服务中,我们使用知识服务器来回答消费者的查询。web服务是一个由功能集群组成的单一实体,它位于网络的中心,知识数据有权由知识消费者以标准化的方式使用,以保持透明度。在这里,我们提出了一种称为知识即服务(KaaS)的体系结构,当知识消费者需要特定的知识数据时,我们使用实用程序挖掘算法从数据所有者那里提取知识数据。提出体系结构背后的主要动机是在分布式计算环境中提供实用程序挖掘作为服务,可以应用于交叉销售方法等业务。在网上购物车系统中对这种基于体系结构的新方法进行了实验。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Investigation of high utility itemset mining in service oriented computing: Deployment of knowledge as a service in E-commerce
In this paper, we explore a Service Oriented Computing (SOC) paradigm which provides knowledge as a service that makes use of utility mining approach. The basic idea of providing knowledge is done via the web services in which we use a knowledge server to answer the queries of the consumers. A web service is a single entity which comprises of cluster of functionalities and is made available at the heart of the network and the knowledge data are entitled to be used by the knowledge consumers in a standardized manner to maintain transparency. Here, we have proposed an architecture called Knowledge as a Service (KaaS) where we use utility mining algorithms for extracting the knowledge data from the data owners when the knowledge consumers are in need of a particular knowledge data. The main motive behind proposing architecture is to provide Utility Mining as a service in a distributed computing environment which can be applied in business such as cross selling approach. This novel architectural based approach is experimented in online shopping cart system.
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