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A review of data analytics in technological forecasting
C Lee - Technological Forecasting and Social Change, 2021 - Elsevier
Technological forecasting (TF) has significantly benefited from data analytics over the past
decades. However, little effort has been made to present an overview of data analytics in TF …
decades. However, little effort has been made to present an overview of data analytics in TF …
A systematic literature review of mining weak signals and trends for corporate foresight
Due to the ever-growing amount of data, computer-aided methods and systems to detect
weak signals and trends for corporate foresight are in increasing demand. To this day, many …
weak signals and trends for corporate foresight are in increasing demand. To this day, many …
Deep learning for technical document classification
In large technology companies, the requirements for managing and organizing technical
documents created by engineers and managers have increased dramatically in recent …
documents created by engineers and managers have increased dramatically in recent …
Two-stage technology opportunity discovery for firm-level decision making: GCN-based link-prediction approach
M Park, Y Geum - Technological Forecasting and Social Change, 2022 - Elsevier
In this study, we propose a graph convolution network (GCN)-based patent-link prediction to
predict technology convergence. We address the limitations of previous works, which …
predict technology convergence. We address the limitations of previous works, which …
Patent value analysis using deep learning models—The case of IoT technology mining for the manufacturing industry
The R&D output and global commercialization of intellectual properties (IPs), especially
patents filed in many countries, have increased dramatically over the past decade. The …
patents filed in many countries, have increased dramatically over the past decade. The …
Patent document clustering with deep embeddings
The analysis of scientific and technical documents is crucial in the process of establishing
science and technology strategies. One popular method for such analysis is for field experts …
science and technology strategies. One popular method for such analysis is for field experts …
Bridging trends and patents: Combining different data sources for the evaluation of innovation fields in blockchain technology
M Wustmans, T Haubold… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
The evaluation of various innovation fields of an emerging technology as well as their
potential impact on a certain market, region, industry, or target group is a part of an …
potential impact on a certain market, region, industry, or target group is a part of an …
From technology opportunities to solutions generation via patent analysis: Application of machine learning-based link prediction
Z Wang, W Guo, H Shao, L Wang, Z Chang… - Advanced Engineering …, 2024 - Elsevier
Technology convergence represents a significant mode of technological innovation that is
widely prevalent across various industries. This innovative approach integrates multiple …
widely prevalent across various industries. This innovative approach integrates multiple …
A personalized recommendation system for high-quality patent trading by leveraging hybrid patent analysis
W Du, Y Wang, W Xu, J Ma - Scientometrics, 2021 - Springer
Patents, as technological innovation with commercial values, play a significant role for
increasing enterprise and national competitiveness. Personalized recommendation in online …
increasing enterprise and national competitiveness. Personalized recommendation in online …
Understanding the trends in blockchain domain through an unsupervised systematic patent analysis
Patent analysis is crucial for technology monitoring, forecasting, and assessment, and
facilitates entrepreneurs and different stakeholder groups to develop forward-looking …
facilitates entrepreneurs and different stakeholder groups to develop forward-looking …