{"title":"基于形式化描述的扩展多值上下文分析方法","authors":"Yuxia Lei, Baoxiang Cao, Jiguo Yu","doi":"10.1109/FSKD.2007.28","DOIUrl":null,"url":null,"abstract":"Formal Concept Analysis (FCA) is an effective formal tool for data analysis and knowledge mining. The paper firstly proposed a semi-automatic method, which is based on extended description, is used to translate the original documents into extended many-valued context. Then based on extended many-valued contexts and extended description, the paper presented an approach to concept lattice analysis in order to improve the utility and pertinence to the concept lattice. The method allows to avoid the generation of a large one-valued context and to do document knowledge discovery.","PeriodicalId":201883,"journal":{"name":"Fourth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2007)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"A Formal Description-Based Approach to Extended Many-Valued Context Analysis\",\"authors\":\"Yuxia Lei, Baoxiang Cao, Jiguo Yu\",\"doi\":\"10.1109/FSKD.2007.28\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Formal Concept Analysis (FCA) is an effective formal tool for data analysis and knowledge mining. The paper firstly proposed a semi-automatic method, which is based on extended description, is used to translate the original documents into extended many-valued context. Then based on extended many-valued contexts and extended description, the paper presented an approach to concept lattice analysis in order to improve the utility and pertinence to the concept lattice. The method allows to avoid the generation of a large one-valued context and to do document knowledge discovery.\",\"PeriodicalId\":201883,\"journal\":{\"name\":\"Fourth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2007)\",\"volume\":\"14 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2007-08-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Fourth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2007)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/FSKD.2007.28\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Fourth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2007)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/FSKD.2007.28","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Formal Description-Based Approach to Extended Many-Valued Context Analysis
Formal Concept Analysis (FCA) is an effective formal tool for data analysis and knowledge mining. The paper firstly proposed a semi-automatic method, which is based on extended description, is used to translate the original documents into extended many-valued context. Then based on extended many-valued contexts and extended description, the paper presented an approach to concept lattice analysis in order to improve the utility and pertinence to the concept lattice. The method allows to avoid the generation of a large one-valued context and to do document knowledge discovery.