{"title":"数据挖掘基础及其重要性","authors":"J. Watson","doi":"10.35248/2153-0602.21.12.239","DOIUrl":null,"url":null,"abstract":"Data mining is also known as the knowledge discovery data, which collects powerful and useful information from the large data and it is useful in future trends. The spontaneous of using large data from the discovered trends and the ways lead to the usage of simple research. Data mining enlightened the algorithms of mathematical studies to components of the data and calculates the possibility of future events.","PeriodicalId":15630,"journal":{"name":"Journal of Data Mining in Genomics & Proteomics","volume":"22 1","pages":"1-1"},"PeriodicalIF":0.0000,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Fundamentals of Data Mining and its Importance\",\"authors\":\"J. Watson\",\"doi\":\"10.35248/2153-0602.21.12.239\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Data mining is also known as the knowledge discovery data, which collects powerful and useful information from the large data and it is useful in future trends. The spontaneous of using large data from the discovered trends and the ways lead to the usage of simple research. Data mining enlightened the algorithms of mathematical studies to components of the data and calculates the possibility of future events.\",\"PeriodicalId\":15630,\"journal\":{\"name\":\"Journal of Data Mining in Genomics & Proteomics\",\"volume\":\"22 1\",\"pages\":\"1-1\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Data Mining in Genomics & Proteomics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.35248/2153-0602.21.12.239\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Data Mining in Genomics & Proteomics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.35248/2153-0602.21.12.239","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Data mining is also known as the knowledge discovery data, which collects powerful and useful information from the large data and it is useful in future trends. The spontaneous of using large data from the discovered trends and the ways lead to the usage of simple research. Data mining enlightened the algorithms of mathematical studies to components of the data and calculates the possibility of future events.