Fuzzy Galois connections for the extraction of temporal association rules

Mohammed Moujabbir, M. Ramdani
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Abstract

In this paper, we propose a new method able to correct errors the dematerialization the documents, especially the invoice document. We use on Electronic document readers able to read and recognize the relevant information. The process consists on: digitizing an important quantity of documents and passing them through an electronic documents reader. Then treating (correcting) the error recognition. The final objective is to find an electronic document reflecting all information included in the original document (physical document). To achieve this issue we develop a new parser which is applicable to a large kind of documents, especially correcting the detected errors. This parser is based on the formal concept analysis.
模糊伽罗瓦连接在时间关联规则提取中的应用
本文提出了一种新的方法来纠正单据,特别是发票单据的非物质化错误。我们在电子文档阅读器上使用能够读取和识别相关信息的阅读器。这个过程包括:将大量的文件数字化,并通过电子文件阅读器传递它们。然后处理(纠正)错误识别。最终目标是找到一个反映原始文档(物理文档)中包含的所有信息的电子文档。为了解决这个问题,我们开发了一种新的解析器,它适用于大型文档,特别是对检测到的错误进行校正。该解析器基于形式概念分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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