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Developing an open knowledge discovery support system for a network environment

机译:为网络环境开发开放知识发现支持系统

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Knowledge discovery in databases (KDD) is a highly complex process where a lot of data manipulation tools with different characteristics can, and in fact have to, be used together in an interactive and iterative fashion, to reach the goal of previously unknown, potentially useful information extraction. In this paper we analyze the major sources of complexity in the framework of network organizations, pointing out the necessity to give support to the user in many different ways and at very different levels of granularity, from the use of a single tool, to the management of whole, distributed, KDD projects. Unfortunately, currently available systems lack to support the users in at least some of these features. We then propose a solution based on the service oriented computing paradigm, arguing that the advantages of this paradigm, namely openness, modularity, reusability and transparency, as well as ubiquity, can help in the design of an effective support system for knowledge discovery in databases in network environments.
机译:在数据库(KDD),知识发现是一个非常复杂的过程,其中很多数据处理工具具有不同的特点就可以了,其实有必要,可以在互动和迭代的方式一起使用,以达到目标先前未知的,潜在有用信息提取。在本文中,我们分析了网络组织架构的复杂性的主要来源,指出有必要给予支持用户多种不同的方式,并以非常不同的粒度级别,从使用单一的工具,以管理全分布式,KDD项目。不幸的是,目前可用的系统缺乏支持用户在至少其中的一些功能。然后,我们提出了一个解决方案基于面向计算模式的服务,认为这种模式,即开放性,模块化,可重用性和透明度,以及无处不在的优势,可以有效支持系统的设计帮助在数据库中的知识发现在网络环境中。

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