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Patent Analysis by Data Mining for identifying and determining relationships among technologies
Leila MahmudJanlu, Babak Shirazi , Iraj Mahdavi, Javad Soltanzadeh
Assistant Professor Mazandaran University of Science and Technology
Abstract:   (319 Views)
Analyzing technologies relationships can provide insight into technological strategies and maximizing the profits. Patents are integral parts of intellectual property rights including significant information about developed technologies. Due to the increasing amount of patents, data mining method is proposed for patent analysis. Thus, weighted association rules have been used for patent analysis; meanwhile unequal importance of patents and levels of technology have been considered in terms of technological impact and commercial importance. The aim of this study is to find a sustainable method for extracting technologies relationships based on patent analysis being independent of subjective knowledge of experts in a particular field of technology. To achieve this goal, a four-step process including data collection, structured database creation, data mining implementation, and technologies relationship identification/determination/theirs graphical representation are proposed. The proposed process has been implemented and evaluated within a case study.
Keywords: Patent Analysis, Data Mining, Weighted association Rules, Technology Clusters, IPC code, Related technologies.
Full-Text [PDF 1140 kb]   (207 Downloads)    
Type of Study: Research | Subject: Information Technology
Received: 2017/02/27 | Accepted: 2017/09/17 | Published: 2017/10/9
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MahmudJanlu L, Shirazi B, Mahdavi I, Soltanzadeh J. Patent Analysis by Data Mining for identifying and determining relationships among technologies. Journal of Information Processing and Management. 2009;
URL: http://jipm.irandoc.ac.ir/article-1-3540-en.html
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پژوهشنامه پردازش و مدیریت اطلاعات Journal of Information processing and Management
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