模糊伽罗瓦连接在时间关联规则提取中的应用

Mohammed Moujabbir, M. Ramdani
{"title":"模糊伽罗瓦连接在时间关联规则提取中的应用","authors":"Mohammed Moujabbir, M. Ramdani","doi":"10.1109/SITA.2013.6560803","DOIUrl":null,"url":null,"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.","PeriodicalId":145244,"journal":{"name":"2013 8th International Conference on Intelligent Systems: Theories and Applications (SITA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Fuzzy Galois connections for the extraction of temporal association rules\",\"authors\":\"Mohammed Moujabbir, M. Ramdani\",\"doi\":\"10.1109/SITA.2013.6560803\",\"DOIUrl\":null,\"url\":null,\"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.\",\"PeriodicalId\":145244,\"journal\":{\"name\":\"2013 8th International Conference on Intelligent Systems: Theories and Applications (SITA)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-05-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 8th International Conference on Intelligent Systems: Theories and Applications (SITA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SITA.2013.6560803\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 8th International Conference on Intelligent Systems: Theories and Applications (SITA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SITA.2013.6560803","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

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。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Fuzzy Galois connections for the extraction of temporal association rules
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.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
A rule-based simulation approach to scheduling problem in semiconductor photolithography process Hybrid network selection strategy by using M-AHP/E-TOPSIS for heterogeneous networks A semantic approach for automatic image annotation Result merging for meta-search engine Review of Web services description approaches
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1