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《A Comparative Study of Frequent and MaximalPeriodic Pattern Mining Algorithms inSpatiotemporal Databases频繁与Maximal的比较研究 周期模式挖掘算法 时空数据库》由会员上传分享,免费在线阅读,更多相关内容在学术论文-天天文库。
1、IOPConferenceSeries:MaterialsScienceandEngineeringPAPER•OPENACCESSRelatedcontent-ThecomparativestudyfortheisotropicAComparativeStudyofFrequentandMaximalandorthotropiccircularplatesCPopaandGTomescuPeriodicPatternMiningAlgorithmsin-Spatiotemporalpatternformationinaprey-Spati
2、otemporalDatabasespredatormodelunderenvironmentaldrivingforcesAnujKumarSirohi,MalayBanerjeeandAnirbanChakrabortiTocitethisarticle:OObulesuetal2017IOPConf.Ser.:Mater.Sci.Eng.225012066-VaccinationStrategies:acomparativestudyinanepidemicscenarioD.B.Prates,C.L.T.F.Jardim,L.A.F
3、.Ferreiraetal.Viewthearticleonlineforupdatesandenhancements.ThiscontentwasdownloadedfromIPaddress61.174.131.57on13/08/2018at13:14ICMAEM-2017IOPPublishingIOPConf.Series:MaterialsScienceandEngineering1234567890225(2017)012066doi:10.1088/1757-899X/225/1/012066AComparativeStud
4、yofFrequentandMaximalPeriodicPatternMiningAlgorithmsinSpatiotemporalDatabases1OObulesu,AssistantProfessor,DepartmentofIT,SVEC,Tirupati,A.P.,India2DrARamaMohanReddy,ProfessorofCSE,SVUCE,Tirupati,A.P.,India3MahendraM,AssistantProfessor,DepartmentofIT,SVEC,Tirupati,A.P.,India
5、Abstract:Detectingregularandefficientcyclicmodelsisthedemandingactivityfordataanalystsduetounstructured,vigorousandenormousrawinformationproducedfromweb.Manyexistingapproachesgeneratelargecandidatepatternsintheoccurrenceofhugeandcomplexdatabases.Inthiswork,twonovelalgorith
6、msareproposedandacomparativeexaminationisperformedbyconsideringscalabilityandperformanceparameters.Thefirstalgorithmis,EFPMA(ExtendedRegularModelDetectionAlgorithm)usedtofindfrequentsequentialpatternsfromthespatiotemporaldatasetandthesecondoneis,ETMA(EnhancedTree-basedMini
7、ngAlgorithm)fordetectingeffectivecyclicmodelswithsymbolicdatabaserepresentation.EFPMAisanalgorithmgrowsmodelsfrombothends(prefixesandsuffixes)ofdetectedpatterns,whichresultsinfasterpatterngrowthbecauseoflesslevelsofdatabaseprojectioncomparedtoexistingapproachessuchasPrefix
8、spanandSPADE.ETMAusesdistinctnotionstostoreandmanagetransactionsdatahorizontallysuchasseg