{"title":"Guest Editor's Introduction: Data Mining","authors":"G. Karypis","doi":"10.1109/MCSE.2002.10003","DOIUrl":null,"url":null,"abstract":"Data mining is the process of automatically extracting new and useful knowledge hidden in large data sets. This emerging discipline is becoming increasingly important as advances in data collection lead to the explosive growth in the amount of available data. Data mining techniques primarily help analyze commercial data sets and play a critical role in analyzing and understanding purchasing behaviors for effective consumer relations management, process optimization, personalized marketing, and customer segmentation.","PeriodicalId":100659,"journal":{"name":"IMPACT of Computing in Science and Engineering","volume":"25 1","pages":"12-13"},"PeriodicalIF":0.0000,"publicationDate":"2002-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IMPACT of Computing in Science and Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MCSE.2002.10003","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7
Abstract
Data mining is the process of automatically extracting new and useful knowledge hidden in large data sets. This emerging discipline is becoming increasingly important as advances in data collection lead to the explosive growth in the amount of available data. Data mining techniques primarily help analyze commercial data sets and play a critical role in analyzing and understanding purchasing behaviors for effective consumer relations management, process optimization, personalized marketing, and customer segmentation.