基于文本挖掘的日志分割

Seventh International Conference on Document Analysis and Recognition, 2003. Proceedings. Pub Date : 2003-08-03 DOI:10.1109/ICDAR.2003.1227822

Xiaofan Lin

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引用次数: 17

摘要

介绍了一种新的期刊分割算法。它充分利用了各种信息，如文本匹配，布局和页码。核心过程是高效的文本挖掘算法，该算法检测单个文章的内容页和标题页之间的匹配短语。实验表明，该算法具有较强的鲁棒性，能够对多种期刊、杂志和图书进行分类。

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Text-mining based journal splitting

This paper introduces a novel journal splittingalgorithm. It takes full advantage of various kinds ofinformation such as text match, layout and page numbers.The core procedure is a highly efficient text-miningalgorithm, which detects the matched phrases between thecontent pages and the title pages of individual articles.Experiments show that this algorithm is robust and ableto split a wide range of journals, magazines and books.

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来源期刊

Seventh International Conference on Document Analysis and Recognition, 2003. Proceedings.

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