简介:Amethodforminingfrequentitemsetsbyevaluatingtheirprobabilityofsupportsbasedonassociationanalysisispresented.Thispaperobtainstheprobabilityofevery1-itemsetbyscanningthedatabase,thenevaluatestheprobabilityofevery2-itemset,every3-itemset,everyk-itemsetfromthefrequent1-itemsetsandgainsallthecandidatefrequentitemsets.Thispaperalsoscansthedatabaseforverifyingthesupportofthecandidatefrequentitemsets.Last,thefrequentitemsetsaremined.Themethodreducesalotoftimeofscanningdatabaseandshortensthecomputationtimeofthealgorithm.
简介:摘要针对公安交管业务异常数据人工评估效率低、覆盖范围小、难以为业务开展提供有效指导等突出应用问题,研究基于Apriori算法的公安交管综合业务相关性研判模型,为公安交管业务异常数据分析研判的常态化开展提供有效的技术保障,有效增强公安交管核心业务数据质量。
简介:Inthepost-genomicera,variouscomputationalmethodsthatpredictprotein-proteininteractionsatthegenomelevelareavailable;however,eachmethodhasitsownadvantagesanddisadvantages,resultinginfalsepredictions.Herewedevel-opedauniqueintegratedapproachtoidentifyinteractingpartner(s)ofSemaphorin5A(SEMA5A),beginningwithsevenproteinssharingsimilarligandinteractingresiduesasputativebindingpartners.ThemethodsincludeDwyerandRoot-Bernstein/Dillontheoriesofproteinevolution,hydropathiccomplementarityofproteinstructure,patternofproteinfunctionsamongmolecules,informationondomain-domaininteractions,co-expressionofgenesandproteinevolution.AmongthesetofsevenproteinsselectedasputativeSEMA5Ainteractingpartners,wefoundthefunctionsofPlexinB3andNeuropilin-2tobeassociatedwithSEMA5A.WemodeledthesemaphorindomainstructureofPlexinB3andfoundthatitsharessimilaritywithSEMA5A.Moreover,avirtualexpressiondatabasesearchandRT-PCRanalysisshowedco-expressionofSEMA5AandPlexinB3andtheseproteinswerefoundtohaveco-evolved.Inaddition,weconfirmedtheinterac-tionofSEMA5AwithPlexinB3inco-immunoprecipitationstudies.Overall,thesestudiesdemonstratethatanintegratedmethodofpredictioncanbeusedatthegenomelevelfordiscoveringmanyunknownproteinbindingpartnerswithknownligandbindingdomains.