It including several knowledge repositories as well as three modules of web pages preprocessor , rule learning and information extraction , describing the web pages by four sides : semantic content display , logic structure , rule generation and extraction results 系统包括几个知识库以及网页预处理、规则学习和信息抽取三个子模块,分别从语义内容表示、逻辑结构、规则生成以及抽取结果四个层面对web页面进行描述。
An information entropy - based uncertainty measure is presented first based on generalized rough set model in this paper , which is suitable for evaluating rules retrieved from noisy data . second , this paper puts forward generalized minimal - and - maximal - rules - learning methods and generalized maximal - minimal - rules - conversion model because we can encounter noisy problems in most real - life problems . third , this paper puts forward a new discretization method for the continuous attributes , which is based on the clustering and rough sets theory 本文在对粗集及其相关理论的研究基础上，首先给出了一种基于推广粗集模型和信息熵的规则不确定性量度，该不确定性量度适于评价从有噪音数据中提取的规则；鉴于实际应用中经常能遇到噪音的问题，本文提出广义极小极大规则学习方法，同时还提出了广义极大极小规则转换模型gmm ；最后，本文基于聚类方法、结合粗集理论提出了一种新的连续属性离散化方法。
