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Analysis of patent documents with weighted association rules

dc.contributor.authorAltuntas S.
dc.contributor.authorDereli T.
dc.contributor.authorKusiak A.
dc.date.accessioned20.04.201910:49:12
dc.date.accessioned2019-04-20T21:43:52Z
dc.date.available20.04.201910:49:12
dc.date.available2019-04-20T21:43:52Z
dc.date.issued2015
dc.identifier.issn0040-1625
dc.identifier.urihttps://dx.doi.org/10.1016/j.techfore.2014.09.012
dc.identifier.urihttps://hdl.handle.net/20.500.12403/704
dc.description.abstractAnalysis of relationship among various technologies may result in technology maximizing profits. Weighted association rules are proposed to determine dependencies across technologies. The proposed approach recognizes uneven importance of patents and technology class in terms of their technological impact and commercial significance. The proposed analysis approach is illustrated with a case study. © 2014 Elsevier Inc.en_US
dc.language.isoengen_US
dc.publisherElsevier Inc.
dc.relation.isversionof10.1016/j.techfore.2014.09.012
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectData mining
dc.subjectPatent analysis
dc.subjectPatent citation
dc.subjectWeighted association rules
dc.subjectAssociation rules
dc.subjectData mining
dc.subjectAnalysis approach
dc.subjectPatent analysis
dc.subjectPatent citation
dc.subjectPatent documents
dc.subjectVarious technologies
dc.subjectWeighted association rules
dc.subjectPatents and inventions
dc.subjectdata mining
dc.subjectintellectual property rights
dc.subjecttechnology
dc.subjectData mining
dc.subjectPatent analysis
dc.subjectPatent citation
dc.subjectWeighted association rules
dc.subjectAssociation rules
dc.subjectData mining
dc.subjectAnalysis approach
dc.subjectPatent analysis
dc.subjectPatent citation
dc.subjectPatent documents
dc.subjectVarious technologies
dc.subjectWeighted association rules
dc.subjectPatents and inventions
dc.subjectdata mining
dc.subjectintellectual property rights
dc.subjecttechnology
dc.titleAnalysis of patent documents with weighted association rulesen_US
dc.typearticleen_US
dc.relation.journalTechnological Forecasting and Social Changeen_US
dc.contributor.departmentBayburt Universityen_US
dc.contributor.authorID43661044500
dc.contributor.authorID7003495303
dc.contributor.authorID26643635700
dc.identifier.volume92
dc.identifier.startpage249
dc.identifier.endpage262
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US


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