Article(id=1242136841122558219, tenantId=1146029695717560320, journalId=1146031591421210625, issueId=1242136824584417516, articleNumber=null, orderNo=12, doi=10.3981/j.issn.1000-7857.2018.09.010, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1513267200000, receivedDateStr=2017-12-15, revisedDate=1523203200000, revisedDateStr=2018-04-09, acceptedDate=null, acceptedDateStr=null, onlineDate=1526698942897, onlineDateStr=2018-05-19, pubDate=1526140800000, pubDateStr=2018-05-13, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1526698942897, onlineIssueDateStr=2018-05-19, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1774078100704, creator=sys-migrate, updateTime=1774078100704, updator=sys-migrate, issue=Issue{id=1242136824584417516, tenantId=1146029695717560320, journalId=1146031591421210625, year='2018', volume='36', issue='9', pageStart='8', pageEnd='96', issueExtLink='null', onlineDate='null', pubDate='null', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=3, issueType=-1, specialIssue=null, createTime=1774078096763, creator=sys-migrate, updateTime=1774078096763, updator=sys-migrate, preIssue=null, nextIssue=null, ext=null, issueFiles=null}, startPage=73, endPage=83, ext={EN=ArticleExt(id=1242136844943565110, articleId=1242136841122558219, tenantId=1146029695717560320, journalId=1146031591421210625, language=EN, title=Applications research of data mining technology in big data era, columnId=1242116810380743325, journalTitle=Science & Technology Review, columnName=Reviews, runingTitle=null, highlight=null, articleAbstract=In the era of big data, data mining technology has received more and more attention. This paper introduces the research background and status of data mining technology, followed by detailed description of its relevant algorithms such as decision tree, support vector machine, neural networks in detail. It then analyzes the data mining related applications and future development trend. 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runingTitle=null, highlight=null, articleAbstract=大数据时代下，数据挖掘技术越来越受到人们的关注。本文介绍了数据挖掘技术的研究背景和研究现状，论述了决策树、支持向量机、神经网络等数据挖掘技术的相关算法，分析了数据挖掘技术在大数据中的相关应用及未来的发展趋势，探讨了在大数据时代数据挖掘技术面临的挑战。, correspAuthors=null, authorNote=刘铭,副教授,研究方向为智能计算与数据挖掘,电子信箱:jlcclm@163.com, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=/Zx6ROHy+ep5GwZB3OmP8A==, pdfFileSize=1744846, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, authorCompany=长春工业大学数学与统计学院, 长春 130012, fund=国家自然科学基金项目（61503150）, authors=刘铭, 吕丹, 安永灿, authorsList=刘铭, 吕丹, 安永灿)}, authors=null, keywords=[Keyword(id=1242136841940447502, tenantId=1146029695717560320, journalId=1146031591421210625, articleId=1242136841122558219, language=CN, orderNo=1, keyword=大数据), 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