{"title":"对实际工程中使用的数据挖掘软件的调查","authors":"Yong Wang, Hao Wang, Zhicai Gu","doi":"10.1109/OSSC.2011.6184701","DOIUrl":null,"url":null,"abstract":"Data mining is a key in knowledge discovery process. In recent years, its application is becoming a fast growing field, and more and more software products are developed based on different application background. In this paper, we make a survey of data mining tools used for real projects, evaluate their impact factors with a new definition and reveal that open source softwares are becoming more widely used and there is seldom single software is used for solving real problems.","PeriodicalId":197116,"journal":{"name":"2011 IEEE International Workshop on Open-source Software for Scientific Computation","volume":"437 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"A survey of data mining softwares used for real projects\",\"authors\":\"Yong Wang, Hao Wang, Zhicai Gu\",\"doi\":\"10.1109/OSSC.2011.6184701\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Data mining is a key in knowledge discovery process. In recent years, its application is becoming a fast growing field, and more and more software products are developed based on different application background. In this paper, we make a survey of data mining tools used for real projects, evaluate their impact factors with a new definition and reveal that open source softwares are becoming more widely used and there is seldom single software is used for solving real problems.\",\"PeriodicalId\":197116,\"journal\":{\"name\":\"2011 IEEE International Workshop on Open-source Software for Scientific Computation\",\"volume\":\"437 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 IEEE International Workshop on Open-source Software for Scientific Computation\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/OSSC.2011.6184701\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 IEEE International Workshop on Open-source Software for Scientific Computation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/OSSC.2011.6184701","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A survey of data mining softwares used for real projects
Data mining is a key in knowledge discovery process. In recent years, its application is becoming a fast growing field, and more and more software products are developed based on different application background. In this paper, we make a survey of data mining tools used for real projects, evaluate their impact factors with a new definition and reveal that open source softwares are becoming more widely used and there is seldom single software is used for solving real problems.