GTM2020: 10TH GLOBAL TECHMINING CONFERENCE

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Aaldering, Lukas Jan	Forecasting promising patents. Predicting upcoming bigrams for the case of camera patents.
Aljohani, Tahani	User Profiling in Online Learning Platforms via Deep Neural Networks and Based on Semantic and Syntactic Representations
An, Xin	Developmental Trajectory Discovery of Weak Signals with Intermediacy Does Topical Novelty lead to Technological Impact?
Arenas-García, Jerónimo	Categorization of CORD-19 articles using word embeddings and topic models Validation of Scientific Topic Models using Graph Analysis and Corpus Metadata
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Baaden, Philipp	Bridging trends and science: Cluster analysis for topic extraction within the circular economy
Bone, Frédérique	Bridging Research on Technological Dynamics: Text Mining of Historical Sources
Breite, Rainer	Identifying the Thematic Structure of Organizational Capabilities in the Project Business
Bröring, Stefanie	Bridging trends and science: Cluster analysis for topic extraction within the circular economy
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Caferoglu, Huseyin	Measuring technological speciation candidates for the case of electric drive technology Forecasting promising patents. Predicting upcoming bigrams for the case of camera patents.
Cai, Xiaojing	Topic evolution, disruption and resilience in early COVID-19 research
Chan, Gabriel	A novel method for identifying breakthrough technology spillovers
Chen, Duenkai	Emergence of Global AIOT innovation ecosystem (2000-2019)
Chen, Hongshu	Exploring funding patterns of interdisciplinary research: A topic-based bibliometric analysis of big data research Tracking and Predicting Interdisciplinary topic evolution: an empirical study of blockchain field
Chen, Jingyan	Consequences on innovation of the internationalization trend in AI technology diffusion: empirical evidences based on patent citation
Chen, Liang	Research on Generating Technology/Function Matrix using Deep Learning techniques Identification and Prediction of Scientific Breakthrough with Structure Entropy Developmental Trajectory Discovery of Weak Signals with Intermediacy
Chen, Luyi	The new innovation cooperation network: Research on the impact of large-scale science and technology infrastructure on Industrial Innovation
Chen, Shihhsin	Technology Convergence and Business Models Transformation: An Empirical Study of Internet of Things Innovation ecosystem of Precision Medicine：dynamics of technological emergence and application The Emergence of Global Blockchain Innovation Networks and Technological Application Emergence of Global AIOT innovation ecosystem (2000-2019) Global M&A Strategies in Life Science sector Innovation ecosystem of smart manufacturing：dynamics of technological emergence and application
Chen, Ting	Patent Similarity in Neural Models:A Comparative Study
Chen, Tsung-Yu	Emergence of Global AIOT innovation ecosystem (2000-2019)
Chen, Wenjie	Mining latent relations between disease and transcription factor based on knowledge graph: a case study on Alzheimer's Disease
Chen, Xiaoli	Characterizing Milestone Technology: Towards Predicting Milestone Technology at the Embryo Stage
Cheng, Junmo	Identification and Prediction of Scientific Breakthrough with Structure Entropy
Cho, Nahyun	Dynamics of brokerage positions in regional R&D activities: the case of Daegu & Gyeongsangbuk-do Province, South Korea
Choudhury, Smarajit Paul	Delineating Knowledge Domains in Scientific Domains in Scientific Literature using Machine Learning (ML) Techniques
Chuang, I-Ping	Global M&A Strategies in Life Science sector
Ciarli, Tommaso	Linking R&D output to SDG’s: A community-based approach
Cid-Sueiro, Jesús	Validation of Scientific Topic Models using Graph Analysis and Corpus Metadata
Confraria, Hugo	Linking R&D output to SDG’s: A community-based approach
Cunningham, Scott	Domain hierarchical expertise extraction for rising stars finding
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Dai, Bing	Mining latent relations between disease and transcription factor based on knowledge graph: a case study on Alzheimer's Disease
Denter, Nils	Forecasting promising patents. Predicting upcoming bigrams for the case of camera patents. A novel way to measure technological and application oriented novelty in patents
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Espinosa-Melchor, José Antonio	Categorization of CORD-19 articles using word embeddings and topic models
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Fan, Qi	Tracing the evolution of topicality in disciplines: Using the editorial summary of Special Issues
Feidenheimer, Alexander	Generating a classification for trademark filings - A string matching approach
Flamand, Marina	A multi-source method for the building of player-level scenarios for innovation
Frietsch, Rainer	A Data Driven Approach for Emerging Technology and Business Model Identification based on Startup Profiles Generating a classification for trademark filings - A string matching approach
Fry, Caroline	Topic evolution, disruption and resilience in early COVID-19 research
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Garechana, Gaizka	Characterizing Technological Maturity at The Industry-Specific Component Level: A Custom NPL Approach
Goldstein, Anna	A novel method for identifying breakthrough technology spillovers
Guo, Xiaofei	The impact of weak, strong and super ties on international scientific cooperation
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Halavachova, Yuliya	Bridging Research on Technological Dynamics: Text Mining of Historical Sources
Hao, Liyuan	Does Topical Novelty lead to Technological Impact?
Hu, Guangyuan	How does international transportation shape scientific collaboration? Evidence from Sino-US nonstop flights and co-publications
Hu, Mengyun	Research on Patent Enhanced Design Strategy and Method
Hu, Zhengyin	Mining latent relations between disease and transcription factor based on knowledge graph: a case study on Alzheimer's Disease Detection of Transformative Research Topics under Catastrophe Theory
Hu, Zhengying	Exploring Interdisciplinary of Science Projects from the Perspective of Papers
Huang, Grace Sheng-Hsin	Innovation ecosystem of Precision Medicine：dynamics of technological emergence and application
Huang, Heng	A New Perspective for Evaluating Papers’ Influence: Combining Citation Count, Polarity and Purpose
Huang, Lu	Discovering Topic Evolution Through Dynamic Networks
Huang, Ruhua	Tracing the evolution of topicality in disciplines: Using the editorial summary of Special Issues
Huang, Shang-Lun	Technology Convergence and Business Models Transformation: An Empirical Study of Internet of Things Global M&A Strategies in Life Science sector Innovation ecosystem of smart manufacturing：dynamics of technological emergence and application
Huang, Ying	How does scientific research respond to S&T policy? A new insight for evaluating policy impact
Huang, Yuting	Tracing the evolution of topicality in disciplines: Using the editorial summary of Special Issues
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I.Cristea, Alexandra	User Profiling in Online Learning Platforms via Deep Neural Networks and Based on Semantic and Syntactic Representations
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Jaiswal, Kshitij	Delineating Knowledge Domains in Scientific Domains in Scientific Literature using Machine Learning (ML) Techniques
Janyathitipath, Tapanut	Technology Convergence and Business Models Transformation: An Empirical Study of Internet of Things The Emergence of Global Blockchain Innovation Networks and Technological Application
Jiang, Lidan	Consequences on innovation of the internationalization trend in AI technology diffusion: empirical evidences based on patent citation
Jiao, Jiao	A Data Driven Approach for Emerging Technology and Business Model Identification based on Startup Profiles
Jiarun, Liu	Discovering Topic Evolution Through Dynamic Networks
Jin, Qianqian	Exploring funding patterns of interdisciplinary research: A topic-based bibliometric analysis of big data research
Jin, Xiao	Research on Technological Innovation Opportunities Based on Patent Analysis and Technological Evolution Integration
Jinqing, Yang	An improved framework for identifying emerging author keywords
John, Marcus	Bridging trends and science: Cluster analysis for topic extraction within the circular economy
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Kao, Chi-Ming	Emergence of Global AIOT innovation ecosystem (2000-2019)
Klobasa, Marian	A Data Driven Approach for Emerging Technology and Business Model Identification based on Startup Profiles
Kolesnikov, Sergey	A novel method for identifying breakthrough technology spillovers
Kuanwinij, Pakaporn	Technology Convergence and Business Models Transformation: An Empirical Study of Internet of Things
Kumpulainen, Miika	Identifying the Thematic Structure of Organizational Capabilities in the Project Business
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Lee, Howard	Innovation ecosystem of smart manufacturing：dynamics of technological emergence and application
Lee, Keun	The Quest of SMEs in Pivoting for New Technological Ventures in Post Catch-up Conditions: Assessing the Collective Endeavor for Science, Cycle Time and Market Development in Seven Cities
Li, Guopeng	Patent Similarity in Neural Models:A Comparative Study
Li, Ling	Developmental Trajectory Discovery of Weak Signals with Intermediacy
Li, Miao	Research on Technological Innovation Opportunities Based on Patent Analysis and Technological Evolution Integration Research on Patent Enhanced Design Strategy and Method
Li, Munan	Forecasting technology opportunities using a hybrid approach: the case of blockchain
Li, Yashan	How does scientific research respond to S&T policy? A new insight for evaluating policy impact
Liu, Fangyan	Discovering Topic Evolution Through Dynamic Networks
Liu, Junwan	The impact of weak, strong and super ties on international scientific cooperation
Liu, Qiao	Research on Technological Innovation Opportunities Based on Patent Analysis and Technological Evolution Integration
Liu, Yuqin	ITGInsight — Discovering and Visualizing Science, Technology and Innovation Information for Generating Competitive Technological Intelligence
Lo, Kyle	CORD-19: The COVID-19 Open Research Dataset
Lui, Na	Mapping AI knowledge innovation ecosystems: A comparison between Canada and UK
Luo, Rui	Identification and Prediction of Scientific Breakthrough with Structure Entropy
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Ma, Jing	Technology Opportunities Analysis Based on Predicting Organization-oriented Patent Network
Martineau, Sean	Processing Artificial Intelligence: Highlighting the Canadian Patent Landscape
Maurya, Abhay	Delineating Knowledge Domains in Scientific Domains in Scientific Literature using Machine Learning (ML) Techniques
Maurya, Shashank	The Emergence of Global Blockchain Innovation Networks and Technological Application
Mikova, Nadezhda	Tech mining tools for monitoring new societal and technology trends that may shape the European future energy demand
Moehrle, Martin G	Measuring technological speciation candidates for the case of electric drive technology A novel way to measure technological and application oriented novelty in patents
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Neuhäusler, Peter	Generating a classification for trademark filings - A string matching approach
Nguyen, Thanh Tri	Technology Convergence and Business Models Transformation: An Empirical Study of Internet of Things
Ni, Rong	How does international transportation shape scientific collaboration? Evidence from Sino-US nonstop flights and co-publications
Ni, Xingxing	Discovering Topic Evolution Through Dynamic Networks
Noyons, Ed	Linking R&D output to SDG’s: A community-based approach
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Owoyele, Babajide	Socio-Psychological Characteristics and Mechanisms of Innovation Intermediaries: Evidence from Hyperlinks and Twitter Data Analysis
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Pang, Hongshen	Detection of Transformative Research Topics under Catastrophe Theory
Pereira-Delgado, Jorge	Validation of Scientific Topic Models using Graph Analysis and Corpus Metadata
Porter, Alan	Tracking and Mining the COVID-19 Research Literature
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Qi, Yan	Selecting strategic partners for collaborative innovation based on topic analysis and link prediction
Qiao, Yali	Identifying Potential Disruptive Technologies from an Alternative Perspective in Biomedical Field
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Rafols, Ismael	Linking R&D output to SDG’s: A community-based approach
Rotolo, Daniele	Bridging Research on Technological Dynamics: Text Mining of Historical Sources
Río-Belver, Rosa	Characterizing Technological Maturity at The Industry-Specific Component Level: A Custom NPL Approach
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Seppänen, Marko	Identifying the Thematic Structure of Organizational Capabilities in the Project Business
Shapira, Philip	Mapping AI knowledge innovation ecosystems: A comparison between Canada and UK The Search for Clinical Solutions
Shengzhi, Huang	An improved framework for identifying emerging author keywords
Sheu, Jeffrey	The Quest of SMEs in Pivoting for New Technological Ventures in Post Catch-up Conditions: Assessing the Collective Endeavor for Science, Cycle Time and Market Development in Seven Cities
Shi, Leyi	Tracing the evolution of topicality in disciplines: Using the editorial summary of Special Issues
Singh, Mahendra	A Data Driven Approach for Emerging Technology and Business Model Identification based on Startup Profiles
Song, Chaegyung	Exploring R&D collaborators based on a doc2vec-based link prediction approach and patent analysis
Song, Yahui	Tracking and Predicting Interdisciplinary topic evolution: an empirical study of blockchain field
Sun, Bixuan	A novel method for identifying breakthrough technology spillovers
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Tang, Chuan	Evolution of Scientific Collaboration in Artificial Intelligence
Tang, Lu	Evolution of Scientific Collaboration in Artificial Intelligence
Thijs, Bart	On the added value of networked data and graph embeddings over convolutional neural networks for the classification scientific publications
Turno, Paolo Antnoio	The Emergence of Global Blockchain Innovation Networks and Technological Application
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van der Pol, Johannes	A multi-source method for the building of player-level scenarios for innovation
Vicente-Gomila, Jose M	Extracting Solutions and Problems out of patent data with techmining: a case for Alzheimer’s drug patenting strategies
Vázquez-López, Manuel	Validation of Scientific Topic Models using Graph Analysis and Corpus Metadata
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Wagner, Caroline	Topic evolution, disruption and resilience in early COVID-19 research
Wang, Congcong	Developmental Trajectory Discovery of Weak Signals with Intermediacy
Wang, Lucy Lu	CORD-19: The COVID-19 Open Research Dataset
Wang, Xiaomei	Patent Similarity in Neural Models:A Comparative Study
Wang, Xuefeng	Identifying Potential Disruptive Technologies from an Alternative Perspective in Biomedical Field A New Perspective for Evaluating Papers’ Influence: Combining Citation Count, Polarity and Purpose ITGInsight — Discovering and Visualizing Science, Technology and Innovation Information for Generating Competitive Technological Intelligence
Wang, Zheng	Research on Generating Technology/Function Matrix using Deep Learning techniques
Ward, Robert	The Search for Clinical Solutions
Wei, Lu	An improved framework for identifying emerging author keywords
Wen, Yi	Research on the evolution of scientific cooperation communities and the growth laws of scientists——A case study in stem cell field
Winnink, Jos	Detection of Transformative Research Topics under Catastrophe Theory Identification and Prediction of Scientific Breakthrough with Structure Entropy
Wong, Chan	The Quest of SMEs in Pivoting for New Technological Ventures in Post Catch-up Conditions: Assessing the Collective Endeavor for Science, Cycle Time and Market Development in Seven Cities
Wu, Mengjia	Topic evolution, disruption and resilience in early COVID-19 research
Wustmans, Michael	Bridging trends and science: Cluster analysis for topic extraction within the circular economy
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Xie, Jia-Chen	Innovation ecosystem of smart manufacturing：dynamics of technological emergence and application
Xu, Fengyun	Research on Patent Enhanced Design Strategy and Method
Xu, Haiyun	Detection of Transformative Research Topics under Catastrophe Theory Research on the evolution of scientific cooperation communities and the growth laws of scientists——A case study in stem cell field Research on Generating Technology/Function Matrix using Deep Learning techniques Identification and Prediction of Scientific Breakthrough with Structure Entropy Does Topical Novelty lead to Technological Impact?
Xu, Jing	Evolution of Scientific Collaboration in Artificial Intelligence
Xu, Shuo	The impact of weak, strong and super ties on international scientific cooperation Research on Generating Technology/Function Matrix using Deep Learning techniques Identification and Prediction of Scientific Breakthrough with Structure Entropy Developmental Trajectory Discovery of Weak Signals with Intermediacy Does Topical Novelty lead to Technological Impact?
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Yang, Chang Hoon	Dynamics of brokerage positions in regional R&D activities: the case of Daegu & Gyeongsangbuk-do Province, South Korea
Yang, Guancan	Does Topical Novelty lead to Technological Impact?
Yang, Qing	Forecasting the Patent Citation Trend of Virtual Reality Technology by Autoregressive Moving Average (ARMA) Model
Yin, Zhijuan	Research on Patent Enhanced Design Strategy and Method
Yoo, Hyung Jung	Dynamics of brokerage positions in regional R&D activities: the case of Daegu & Gyeongsangbuk-do Province, South Korea
Yoon, Byungun	Exploring R&D collaborators based on a doc2vec-based link prediction approach and patent analysis
Youtie, Jan	The Search for Clinical Solutions
Yu, Jiaxin	Research on Technological Innovation Opportunities Based on Patent Analysis and Technological Evolution Integration
Yue, Xiaoxu	Mapping AI knowledge innovation ecosystems: A comparison between Canada and UK
Yuhan, Wei	An improved framework for identifying emerging author keywords
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Zarrabeitia, Enara	Characterizing Technological Maturity at The Industry-Specific Component Level: A Custom NPL Approach
Zeng-Hui, Yue	Detection of Transformative Research Topics under Catastrophe Theory
Zhang, Lin	How does scientific research respond to S&T policy? A new insight for evaluating policy impact
Zhang, Shuo	ITGInsight — Discovering and Visualizing Science, Technology and Innovation Information for Generating Competitive Technological Intelligence
Zhang, Weili	Chinese Technical Terminology Extraction by Using DC-value and Information Entropy
Zhang, Xin	Research on the evolution of scientific cooperation communities and the growth laws of scientists——A case study in stem cell field Selecting strategic partners for collaborative innovation based on topic analysis and link prediction
Zhang, Xue	Exploring Interdisciplinary of Science Projects from the Perspective of Papers
Zhang, Yi	Mining latent relations between disease and transcription factor based on knowledge graph: a case study on Alzheimer's Disease Topic evolution, disruption and resilience in early COVID-19 research
Zhang, Yueyan	The impact of weak, strong and super ties on international scientific cooperation
Zhang, Zhiqiang	Exploring Interdisciplinary of Science Projects from the Perspective of Papers
Zhao, Xiao	Mapping AI knowledge innovation ecosystems: A comparison between Canada and UK
Zhao, Yun	The new innovation cooperation network: Research on the impact of large-scale science and technology infrastructure on Industrial Innovation
Zhifeng, Liu	An improved framework for identifying emerging author keywords
Zhou, Keyu	Forecasting technology opportunities using a hybrid approach: the case of blockchain
Zhu, Donghua	A New Perspective for Evaluating Papers’ Influence: Combining Citation Count, Polarity and Purpose
Zhu, Lin	Domain hierarchical expertise extraction for rising stars finding
Zhu, Yanling	Mining latent relations between disease and transcription factor based on knowledge graph: a case study on Alzheimer's Disease
Zou, Fang	Consequences on innovation of the internationalization trend in AI technology diffusion: empirical evidences based on patent citation
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Álvarez-Meaza, Izaskun	Characterizing Technological Maturity at The Industry-Specific Component Level: A Custom NPL Approach

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