关联规则挖掘中领域知识的处理-几个实验

2011 International Conference on Data and Knowledge Engineering (ICDKE) Pub Date : 2011-10-20 DOI:10.1109/ICDKE.2011.6053919

J. Rauch, M. Simunek

{"title":"关联规则挖掘中领域知识的处理-几个实验","authors":"J. Rauch, M. Simunek","doi":"10.1109/ICDKE.2011.6053919","DOIUrl":null,"url":null,"abstract":"Experiments concerning dealing with domain knowledge in association rules mining are presented. Formalized items of domain knowledge are used. Each such item is converted into a set of all association rules that can be considered as its consequences.","PeriodicalId":377148,"journal":{"name":"2011 International Conference on Data and Knowledge Engineering (ICDKE)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Dealing with domain knowledge in association rules mining — Several experiments\",\"authors\":\"J. Rauch, M. Simunek\",\"doi\":\"10.1109/ICDKE.2011.6053919\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Experiments concerning dealing with domain knowledge in association rules mining are presented. Formalized items of domain knowledge are used. Each such item is converted into a set of all association rules that can be considered as its consequences.\",\"PeriodicalId\":377148,\"journal\":{\"name\":\"2011 International Conference on Data and Knowledge Engineering (ICDKE)\",\"volume\":\"23 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-10-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 International Conference on Data and Knowledge Engineering (ICDKE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICDKE.2011.6053919\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 International Conference on Data and Knowledge Engineering (ICDKE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICDKE.2011.6053919","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 1

摘要

对关联规则挖掘中领域知识的处理进行了实验研究。使用领域知识的形式化项。每个这样的项都被转换成一组可以被视为其结果的所有关联规则。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Dealing with domain knowledge in association rules mining — Several experiments

Experiments concerning dealing with domain knowledge in association rules mining are presented. Formalized items of domain knowledge are used. Each such item is converted into a set of all association rules that can be considered as its consequences.

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

2011 International Conference on Data and Knowledge Engineering (ICDKE)

自引率

0.00%

发文量