{"title":"数据挖掘中基于超图的关联规则冗余处理算法探讨","authors":"Journal of Robotics","doi":"10.1155/2023/9789505","DOIUrl":null,"url":null,"abstract":"<jats:p />","PeriodicalId":51834,"journal":{"name":"Journal of Robotics","volume":" ","pages":""},"PeriodicalIF":1.4000,"publicationDate":"2023-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Retracted: Discussion on Redundant Processing Algorithm of Association Rules Based on Hypergraph in Data Mining\",\"authors\":\"Journal of Robotics\",\"doi\":\"10.1155/2023/9789505\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<jats:p />\",\"PeriodicalId\":51834,\"journal\":{\"name\":\"Journal of Robotics\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":1.4000,\"publicationDate\":\"2023-08-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Robotics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1155/2023/9789505\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"ROBOTICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Robotics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1155/2023/9789505","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"ROBOTICS","Score":null,"Total":0}
期刊介绍：
Journal of Robotics publishes papers on all aspects automated mechanical devices, from their design and fabrication, to their testing and practical implementation. The journal welcomes submissions from the associated fields of materials science, electrical and computer engineering, and machine learning and artificial intelligence, that contribute towards advances in the technology and understanding of robotic systems.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
