{"title":"使用WEKA对三种不同数据集的分类算法进行比较分析","authors":"Rafet Duriqi, Vigan Raça, B. Çiço","doi":"10.1109/MECO.2016.7525775","DOIUrl":null,"url":null,"abstract":"This paper analyzes the most useful and popular classification algorithms used by the Machine Learning systems, particularly in the artificial intelligent systems. It is focused on the practical applying of classification algorithms, in all three different dataset used throughout this paper. The results of the paper show which algorithm is more convenient for a particular dataset. The common analysis of these datasets including classification algorithms is implemented on the WEKA Tool.","PeriodicalId":253666,"journal":{"name":"2016 5th Mediterranean Conference on Embedded Computing (MECO)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"24","resultStr":"{\"title\":\"Comparative analysis of classification algorithms on three different datasets using WEKA\",\"authors\":\"Rafet Duriqi, Vigan Raça, B. Çiço\",\"doi\":\"10.1109/MECO.2016.7525775\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper analyzes the most useful and popular classification algorithms used by the Machine Learning systems, particularly in the artificial intelligent systems. It is focused on the practical applying of classification algorithms, in all three different dataset used throughout this paper. The results of the paper show which algorithm is more convenient for a particular dataset. The common analysis of these datasets including classification algorithms is implemented on the WEKA Tool.\",\"PeriodicalId\":253666,\"journal\":{\"name\":\"2016 5th Mediterranean Conference on Embedded Computing (MECO)\",\"volume\":\"3 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-06-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"24\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 5th Mediterranean Conference on Embedded Computing (MECO)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/MECO.2016.7525775\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 5th Mediterranean Conference on Embedded Computing (MECO)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MECO.2016.7525775","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Comparative analysis of classification algorithms on three different datasets using WEKA
This paper analyzes the most useful and popular classification algorithms used by the Machine Learning systems, particularly in the artificial intelligent systems. It is focused on the practical applying of classification algorithms, in all three different dataset used throughout this paper. The results of the paper show which algorithm is more convenient for a particular dataset. The common analysis of these datasets including classification algorithms is implemented on the WEKA Tool.