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An Apriori-based Algorithm for Mining - 大阪大学

, ciencyhasbeencon \Graphstructure" eldofchemistry,CASEandMultiCASE systemshavebeenoftenusedtodiscovercharac teristicsubstructuresofchemicalcom-pound s[8],[9].Thoughthesesystemscane ciently ndthesubstructures, [14].Thoughtheproposedalgorithmisverye cienttominefre-quentschemasfrommassiveda ta, ,thepropositionalclassi cationtechniques, , ,theregressiontreetechniques, ,M5,andtheinductivelogicprogramming(ILP) techniqueshavebeenap-pliedinthecarcinoge nesispredictionsofchemicalcompounds[10], [7].However,theseapproachescandiscoveron lylimitedtypesofcharacteristicsubstructu res,becausethegraphstructuresmustbepre-c haracterizedbysomespeci ,atechniquetominethefrequentsubstructure scharacterizingthecarcinogenesisofchemic alcompoundshasbeenproposedwithoutrequiri nganyconversionof

An Apriori-based Algorithm for Mining F requen t Substructures from Graph Data Akihiro Inokuchi??,T ak ashi W ashio and Hiroshi Moto da I.S.I.R., Osak

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