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Method of Web Information Extraction Based on Decision Tree

机译:基于决策树的Web信息提取方法

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摘要

Due to the constantly updated characteristic of data in Web, this paper studies the decision tree technology and how to use in the field of Web information extraction. According to the datasets by information extraction, a decision tree of agricultural products market is constructed by C4.5/C5.0 algorithm, with constantly updated data to update the decision tree, and then generate the understandable rules. The experiment proves that it is feasible to realize the Web information extraction based on the decision tree.
机译:由于Web中的数据不断更新,本文研究了决策树技术以及如何在Web信息提取领域使用。根据数据集通过信息提取,通过C4.5 / C5.0算法构建了农产品市场的决策树,不断更新数据来更新决策树,然后生成可理解的规则。实验证明,基于决策树实现网络信息提取是可行的。

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