编辑部:《大数据挖掘与分析(英文)》编辑部
地址:北京市海淀区双清路学研大厦B座608C
邮编:100084
国内统一刊号:CN10-1514/G2
国际标准刊号:ISSN2096-0654
定价:200元
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万维提示:
1、投稿方式:在线投稿。
2、刊内网址:(202303期)
3、清华大学出版社期刊中心官网:
4、期刊主页:
(从清华大学出版社期刊中心官网进入)
5、出刊日期:季刊,逢季末月出版。
2023年8月28星期一
《大数据挖掘与分析(英文)》期刊简介
(BigDataMiningandAnalytics)
《大数据挖掘与分析(英文)》得到国际认可离不开期刊主编和编委会团队、客座编辑、审稿专家和作者、读者们的倾力奉献和大力支持,在此致以衷心的感谢!我们将继续以建设世界一流期刊为目标,为国内外大数据研究者打造高端学术交流平台!
期刊主页:
投稿链接:
《大数据挖掘与分析(英文)》投稿指南
【官网信息】
SubmissionGuidelines
Overview
BigDataMiningandAnalytics,anacademicjournalsponsoredbyTsinghuaUniversity,ispublishedquarterly.Thisjournalaimsatpresentingtheup-to-datescientificachievementswithhighcreativityandgreatsignificanceinbigdataminingandanalytics.Contributionsallovertheworldarewelcome.BigDataMiningandAnalyticsisindexedbyIEEEXplore.
Manuscriptsareselectedforpublicationaccordingtotheeditorialassessmentoftheirsuitabilityandevaluationfromindependentreviewers.Papersareusuallysenttotwoormorereviewers.Editorialstaffwilleditacceptedpaperstoimproveaccuracyandclarityandshorten,ifnecessary.
Itisaconditionofpublicationthatmanuscriptssubmittedtothisjournalhavenotbeenpublishedandwillnotbesimultaneouslysubmittedorpublishedelsewhere.
Manuscriptsubmission
Authorship
Authorshipshouldbelimitedtothosewhohavemadeasignificantcontributiontotheconception,design,execution,orinterpretationofthereportedstudy.Allthosewhohavemadesignificantcontributionsshouldbelistedasco-authors.Wherethereareotherswhohaveparticipatedincertainsubstantiveaspectsoftheresearchproject,theyshouldbenamedinanAcknowledgmentsection.Thecorrespondingauthorshouldensurethatallappropriateco-authors(accordingtotheabovedefinition)andnoinappropriateco-authorsareincludedintheauthorlistofthemanuscript,andthatallco-authorshaveseenandapprovedthefinalversionofthepaperandhaveagreedtoitssubmissionforpublication.Afteracceptance,changesofauthorshiporintheorderoftheauthorslistedwillnotbeacceptedbyTsinghuaUniversityPress.
TitleandBy-line
Thetitleshouldbedescriptive,notfullsentences.Name,affiliation(institution)oftheauthors,city,zipcode,country,andE-mailaddressoftheauthor(s)shouldbelisted.
AbstractandKeywords
Text
ThetextshouldcontainanIntroductionthatputsthepaperintoperspectiveforreaders,andshouldalsocontainMethods,Results,Discussion,andConclusions.TheSIsystemshouldbeusedforunitsofmeasurethroughoutthetext.
Alldigitalarts,includingmicrographs,linearts,andgrayscaleimages,includedinthemanuscriptshouldbesuppliedinaseparateelectronicfileinTIFF,EPS,orJPEGformatwithapreferredresolutionof600dpirelativetothefinalfiguresize.AllfiguresshouldbenumberedusingArabnumeralsandsuppliedwithafigurecaption.Pleasemakesurethatallelementsfoundinthefigureareidentifiedinthecaption.Figuresshouldalwaysbecitedintext,suchasFig.1,Fig.2,inconsecutivenumericalorder.
AlltablesshouldbenumberedusingArabnumeralsandsuppliedwithatabletitlewhichexplainsclearlyandconciselythecomponentsofthetable.Tablesshouldnotduplicateresultspresentedelsewhereinthemanuscript(forexample,infigures).Tablesshouldalwaysbecitedinthetext,suchasTable1,Table2,inconsecutivenumericalorder.
Mathematicalmaterial&Acknowledgment
MathematicalmaterialThetextshouldmakecleardistinctionsbetweenphysicalvariables,mathematicalsymbols,unitsofmeasurement,abbreviations,etc.Authorsshoulduseitalicandboldfacetoidentifyphysicalormathematicalvariables.Variablesaretobesetinnormalitalic,andvectors,tensors,andmatrixesinboldface.
AcknowledgmentTheplacementoftheAcknowledgmentappearsafterthefinaltextofthepaper,justbeforetheReferencesandafteranyAppendix(es).Allfinancialsupportfortheworkshouldbelistedhere.Individuals,affiliation,orothertobeconcernedwhowereofdirecthelpintheworkshouldbeacknowledgedbyabriefstatement.
ArticleProcessingcharge(APC)
BigDataMiningandAnalyticsisasubsidizedopenaccessjournalwhereTUPpaysforthepublishingcostsincurredbythejournal.AuthorsdonothavetopayanyArticleProcessingChargeorOpenAccessPublication.
Others
ReferencesOnlyessentialreferences(formallypublishedjournals,articles,monographs,dissertations,reports,proceedings,standards,patents,and/orelectronicpublications)citedinthetextcanbelistedandmustbenumberedconsecutivelybyArabicnumerals,whichshouldbelistedinthesameorderascitedinthetext.Thereshouldbeatleasttenreferences.
OpenAccessThearticlespublishedinthisjournalaredistributedunderthetermsoftheCreativeCommonsAttributionLicensewhichpermitsanyuse,distribution,andreproductioninanymedium,providedtheoriginalauthor(s)andsourcearecredited.
OwnershipThearticlespublishedinBigDataMiningandAnalyticscannotbepublishedanywhereinanyformwithoutthewrittenpermissionfromBigDataMiningandAnalytics,TsinghuaUniversity.