{"title":"Discrete approach for automatic knowledge extraction from precedent large-scale data, and classification","authors":"V. Ryazanov, Victor A. Vorontchikhin","doi":"10.1109/ICPR.2002.1048269","DOIUrl":null,"url":null,"abstract":"The proposed method for automatic knowledge extraction from large-scale data is based on the idea of analysing neighborhoods of \"supporting\" objects and construction of data covered by sets of hyper parallelepipeds. A simple procedure to choose the supporting objects is applied. Knowledge extraction (logical regularities search) is based on the solution of special discrete linear optimization tasks associated with supporting objects. Two practical tasks are considered for method illustration.","PeriodicalId":159502,"journal":{"name":"Object recognition supported by user interaction for service robots","volume":"45 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2002-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Object recognition supported by user interaction for service robots","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICPR.2002.1048269","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The proposed method for automatic knowledge extraction from large-scale data is based on the idea of analysing neighborhoods of "supporting" objects and construction of data covered by sets of hyper parallelepipeds. A simple procedure to choose the supporting objects is applied. Knowledge extraction (logical regularities search) is based on the solution of special discrete linear optimization tasks associated with supporting objects. Two practical tasks are considered for method illustration.
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
