{"title":"数据分类的数学规划:简要概述","authors":"Omar Souissi, Zineb El Akkaoui, Mohamed Assellaou","doi":"10.1109/ICSSD47982.2019.9003123","DOIUrl":null,"url":null,"abstract":"Data classification problems have been intensively studied by several groups of researchers including computer scientists, statisticians, engineers, biologists. Within the context of widespread use of databases and the explosive growth in their sizes, “Big Data”, new challenges are introduced in order to permit to several organizations to take benefits and efficiently utilize their data. The main objective of this paper is to review main published works which propose mathematical programming approaches in order to solve data classification problems with Support Vector Machine (SVM).","PeriodicalId":342806,"journal":{"name":"2019 1st International Conference on Smart Systems and Data Science (ICSSD)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Mathematical programming for data classification: A short survey\",\"authors\":\"Omar Souissi, Zineb El Akkaoui, Mohamed Assellaou\",\"doi\":\"10.1109/ICSSD47982.2019.9003123\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Data classification problems have been intensively studied by several groups of researchers including computer scientists, statisticians, engineers, biologists. Within the context of widespread use of databases and the explosive growth in their sizes, “Big Data”, new challenges are introduced in order to permit to several organizations to take benefits and efficiently utilize their data. The main objective of this paper is to review main published works which propose mathematical programming approaches in order to solve data classification problems with Support Vector Machine (SVM).\",\"PeriodicalId\":342806,\"journal\":{\"name\":\"2019 1st International Conference on Smart Systems and Data Science (ICSSD)\",\"volume\":\"48 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"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/ICSSD47982.2019.9003123\",\"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/ICSSD47982.2019.9003123","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Mathematical programming for data classification: A short survey
Data classification problems have been intensively studied by several groups of researchers including computer scientists, statisticians, engineers, biologists. Within the context of widespread use of databases and the explosive growth in their sizes, “Big Data”, new challenges are introduced in order to permit to several organizations to take benefits and efficiently utilize their data. The main objective of this paper is to review main published works which propose mathematical programming approaches in order to solve data classification problems with Support Vector Machine (SVM).