{"title":"数据挖掘技术分析","authors":"Ke Zhu","doi":"10.1145/3478301.3478308","DOIUrl":null,"url":null,"abstract":"Data mining has been a popular branch of computer science in recent years with great impact in different areas. It is a technique to find the inner connection, the unexpected pattern from a large amount of data and to obtain certain broad conclusions from it. Currently, many data mining techniques are developed and used in order to process data from various aspects and to improve the speed and accuracy of data analysis. Considering that data mining techniques combine knowledge from multiple domains, this article will present an overview of temporal techniques for data mining.","PeriodicalId":338866,"journal":{"name":"The 2nd European Symposium on Computer and Communications","volume":"23 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Analysis of Techniques for Data Mining\",\"authors\":\"Ke Zhu\",\"doi\":\"10.1145/3478301.3478308\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Data mining has been a popular branch of computer science in recent years with great impact in different areas. It is a technique to find the inner connection, the unexpected pattern from a large amount of data and to obtain certain broad conclusions from it. Currently, many data mining techniques are developed and used in order to process data from various aspects and to improve the speed and accuracy of data analysis. Considering that data mining techniques combine knowledge from multiple domains, this article will present an overview of temporal techniques for data mining.\",\"PeriodicalId\":338866,\"journal\":{\"name\":\"The 2nd European Symposium on Computer and Communications\",\"volume\":\"23 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-04-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"The 2nd European Symposium on Computer and Communications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3478301.3478308\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"The 2nd European Symposium on Computer and Communications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3478301.3478308","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Data mining has been a popular branch of computer science in recent years with great impact in different areas. It is a technique to find the inner connection, the unexpected pattern from a large amount of data and to obtain certain broad conclusions from it. Currently, many data mining techniques are developed and used in order to process data from various aspects and to improve the speed and accuracy of data analysis. Considering that data mining techniques combine knowledge from multiple domains, this article will present an overview of temporal techniques for data mining.