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Discovering associations among technologies using neural networks for tech-mining
, Article IEEE Transactions on Engineering Management ; 2020 ; Veisi, H ; Fateh rad, M ; Rahmani, R ; Sharif University of Technology
Institute of Electrical and Electronics Engineers Inc
2020
Abstract
In both public and private sectors, critical technology-based tasks, such as innovation, forecasting, and road-mapping, are faced with unmanageable complexity due to the ever-expanding web of technologies which can range into thousands. This context cannot be easily handled manually or with efficient speed. However, more precise and insightful answers are expected. These answers are the fundamental challenge addressed by tech-mining. For tech-mining, discovering the associations among them is a critical task. These associations are used to form a weighted directed graph of technologies called “association tech-graph” which is used for technology development, trend analysis, policymaking,...