{"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}
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.