{"title":"流挖掘综述:工具和技术","authors":"Ashish Kumar, Ajmer Singh","doi":"10.1109/ICECA.2017.8212816","DOIUrl":null,"url":null,"abstract":"Stream mining is a trending field of research in this digital age. With the increase in number of users of digital technologies, data is generating exponentially and so is the need to analyse it. This data is very huge in size and cannot be kept stored for a long time, so it must be processed as soon as possible to make space for newly arriving data & to achieve this different single scan algorithms are to be used. The recent technology IOT (Internet of Things) would connect systems and people together, but it would also lead to generation of huge data streams, thus present and future scope of data stream mining is highly propitious. The task of mining the data stream acts as a source of inspiration for many researchers, because of the opportunities it has to offer. This paper is a review of different techniques and tools used for data stream mining.","PeriodicalId":222768,"journal":{"name":"2017 International conference of Electronics, Communication and Aerospace Technology (ICECA)","volume":"205 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Stream mining a review: Tool and techniques\",\"authors\":\"Ashish Kumar, Ajmer Singh\",\"doi\":\"10.1109/ICECA.2017.8212816\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Stream mining is a trending field of research in this digital age. With the increase in number of users of digital technologies, data is generating exponentially and so is the need to analyse it. This data is very huge in size and cannot be kept stored for a long time, so it must be processed as soon as possible to make space for newly arriving data & to achieve this different single scan algorithms are to be used. The recent technology IOT (Internet of Things) would connect systems and people together, but it would also lead to generation of huge data streams, thus present and future scope of data stream mining is highly propitious. The task of mining the data stream acts as a source of inspiration for many researchers, because of the opportunities it has to offer. This paper is a review of different techniques and tools used for data stream mining.\",\"PeriodicalId\":222768,\"journal\":{\"name\":\"2017 International conference of Electronics, Communication and Aerospace Technology (ICECA)\",\"volume\":\"205 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-04-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 International conference of Electronics, Communication and Aerospace Technology (ICECA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICECA.2017.8212816\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 International conference of Electronics, Communication and Aerospace Technology (ICECA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICECA.2017.8212816","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Stream mining is a trending field of research in this digital age. With the increase in number of users of digital technologies, data is generating exponentially and so is the need to analyse it. This data is very huge in size and cannot be kept stored for a long time, so it must be processed as soon as possible to make space for newly arriving data & to achieve this different single scan algorithms are to be used. The recent technology IOT (Internet of Things) would connect systems and people together, but it would also lead to generation of huge data streams, thus present and future scope of data stream mining is highly propitious. The task of mining the data stream acts as a source of inspiration for many researchers, because of the opportunities it has to offer. This paper is a review of different techniques and tools used for data stream mining.