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A synthetic intelligent system for Web information mining

机译:用于Web信息挖掘的合成智能系统

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Facing the ocean of information on Internet, people always get too much information to select and to digest, so it is hard for them to find the necessary information and knowledge. Based on Web mining and intelligent agent technologies, WMS03, a domain-oriented Web information mining model is presented in this paper. WMS03, a synthetic intelligent system can help users to mine information and knowledge on the Web quickly and effectively. First, the user can provide some pages or text documents or keywords or URLs as preference guidance for collecting information. WMS03 uses machine learning algorithms to extract features from this initiative information and to automatically learn the user's interests in special domains. Second, using intelligent agents, the system searches relevant information and monitors changes on the Web sites. Third, WMS03 uses expert systems with heuristic knowledge to cluster and filter information. Fourth, using neural networks and intelligent agents, WMS03 mines information and knowledge, and recommends new information to the user automatically.
机译:面对互联网信息的海洋,人们总是获得太多信息来选择和摘要,因此他们很难找到必要的信息和知识。基于网络挖掘和智能代理技术,WMS03,本文介绍了面向域的Web信息挖掘模型。 WMS03,合成智能系统可以帮助用户快速有效地在网上挖掘信息和知识。首先,用户可以将一些页面或文本文档或关键字或URL提供作为收集信息的偏好指导。 WMS03使用机器学习算法来提取来自该计划信息的功能,并自动在特殊域中学习用户的兴趣。其次,使用智能代理,系统搜索相关信息并监视网站上的更改。第三,WMS03使用具有启发式知识的专家系统来群集和过滤信息。四,使用神经网络和智能代理,WMS03地填充信息和知识,并为用户推荐新信息。

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