{"title":"基于病人规则归纳法的分类器","authors":"Rym Nassih, A. Berrado","doi":"10.1109/ICSSD47982.2019.9003097","DOIUrl":null,"url":null,"abstract":"This paper is an overview of the bump hunting algorithm and in particular the Patient Rule Induction Method and its applications. We also give an overview about interpretability in several key supervised data mining algorithms. This allows for exploring the potential for using PRIM, with its interpretation capability, as a core technology towards building a highly accurate and interpretable classifier in a mixed data space.","PeriodicalId":342806,"journal":{"name":"2019 1st International Conference on Smart Systems and Data Science (ICSSD)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Towards a patient rule induction method based classifier\",\"authors\":\"Rym Nassih, A. Berrado\",\"doi\":\"10.1109/ICSSD47982.2019.9003097\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper is an overview of the bump hunting algorithm and in particular the Patient Rule Induction Method and its applications. We also give an overview about interpretability in several key supervised data mining algorithms. This allows for exploring the potential for using PRIM, with its interpretation capability, as a core technology towards building a highly accurate and interpretable classifier in a mixed data space.\",\"PeriodicalId\":342806,\"journal\":{\"name\":\"2019 1st International Conference on Smart Systems and Data Science (ICSSD)\",\"volume\":\"18 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 1st International Conference on Smart Systems and Data Science (ICSSD)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICSSD47982.2019.9003097\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 1st International Conference on Smart Systems and Data Science (ICSSD)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSSD47982.2019.9003097","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Towards a patient rule induction method based classifier
This paper is an overview of the bump hunting algorithm and in particular the Patient Rule Induction Method and its applications. We also give an overview about interpretability in several key supervised data mining algorithms. This allows for exploring the potential for using PRIM, with its interpretation capability, as a core technology towards building a highly accurate and interpretable classifier in a mixed data space.
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