GTM2019: 9TH GLOBAL TECHMINING CONFERENCE

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Altgilbers, Nora	Frugal invention candidates as antecedents of frugal patents – the moderating role of frugal attributes analysed in the medical engineering technology
Arora, Sanjay	Comparing website measures on R&D with patenting indicators
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Ballester, Omar	Evolution of Topics and Novelty in Science
Beaudry, Catherine	The adoption patterns of advanced technologies in Canada Could the organisation’s websites be a valid data source for research? - An analysis of the complementary nature between web-based indicators and traditional indicators in innovation studies
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Carley, Stephen	Emerging Terms and Co-authorship Dynamics: The Case of Microneedle Technology
Chan, Gabriel	A Network-Based Automated Approach for Identifying Technological Spillovers with an Application in Solar Photovoltaics
Chen, Duenkai	Proximity and Cluster Effects: The Case of Emerging Biotechnology Innovation Networks Detecting Fake News via Machine Learning- A Literature Review and Comparison of Existing Algorithms
Chen, Fang	Identifying Key Technologies Based on Scientific Papers Using Clustering and Complex Network Theory
Chen, Kuanchu	The Emergence of Global 3D Printing Innovation Ecosystem
Chen, Lixin	A enhanced text-based approach to identify and trace technological topics: Illustrated for additive manufacturing
Chen, Shihhsin	Proximity and Cluster Effects: The Case of Emerging Biotechnology Innovation Networks A Comparative Analysis on R&D Collaborations in Emerging Sectors: The Emergence of AIOT A Study on Global M&A and Innovation Networks in Life Science Sector The Emergence of Global 3D Printing Innovation Ecosystem
Chen, Tsung-Yu	A Comparative Analysis on R&D Collaborations in Emerging Sectors: The Emergence of AIOT
Cho, Sungho	A study on evaluation methodology for preliminary (ex-ante) feasibility analysis of government R&D program in Korea
Chong, Suxin	Detecting Fake News via Machine Learning- A Literature Review and Comparison of Existing Algorithms
Chou, Vivian Yu-Ting	A Comparative Analysis on R&D Collaborations in Emerging Sectors: The Emergence of AIOT
Chuang, Dorna	A Study on Global M&A and Innovation Networks in Life Science Sector
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Dalziel, Margaret	Could the organisation’s websites be a valid data source for research? - An analysis of the complementary nature between web-based indicators and traditional indicators in innovation studies
Ding, Wei	Co-word Network Embedding: A Way to Detect Emerging Technology
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Fakatou, Hannah M.	Detecting Fake News via Machine Learning- A Literature Review and Comparison of Existing Algorithms
Fan, Mingjie	Identifying the potential emerging technologies: A machine learning approach using academic papers and Twitter data Monitoring and Forecasting the Development Trends of Emerging Technologies Using Text Mining and Citation Analysis: The Case of Nanogenerator Technology
Frietsch, Rainer	Interdisciplinarity beyond bibliometrics - (in)validation of website information as an indication of interdisciplinarity
Förster, Maximilian	Measuring Tech Emergence: Selected bibliometric approaches for the identification of emerging and promising technologies
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Gautam, Pitambar	A scientometric and text mining approach to identify the research hotspots and emerging topics on Himalaya using the Web of Science records
Guo, Ying	LDA Meets Word2Vec: A Novel Model for Measuring Technology Similarity Identifying Key Technology Convergence Based on Complex Network and Sentiment Analysis
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Hage, Georges	The adoption patterns of advanced technologies in Canada
Hajikhani, Arash	Evaluating the effect of time and journal quality to topics: Structural topic models of scientific publications
Han, Tao	Identifying Key Technologies Based on Scientific Papers Using Clustering and Complex Network Theory
Han, Tao	Measuring technology emergence: Different approaches, different outputs
Han, Xiaotong	Revealing Distinct Association Patterns in Disease-Gene-Drug Based on Coupling Network and Subject-Action-Object-Triples
Hao, Liyuan	A Machine Learning Framework for Predicting Emerging Technologies
Hu, Zhengyin	Research on subject profile of stem cell based on knowledge graph A Big Data Knowledge Computing Platform for Information Research A study on emerging topics discover by text minging
Huang, Heng	Revealing Distinct Association Patterns in Disease-Gene-Drug Based on Coupling Network and Subject-Action-Object-Triples
Huang, Lu	A dynamic network analysis method for identifying emerging technology
Huang, Lucheng	Identifying the potential emerging technologies: A machine learning approach using academic papers and Twitter data Monitoring and Forecasting the Development Trends of Emerging Technologies Using Text Mining and Citation Analysis: The Case of Nanogenerator Technology
Huang, Tianyuan	Forecasting technology emergence: Scenario exploration and prediction accuracy
Huang, Ying	A enhanced text-based approach to identify and trace technological topics: Illustrated for additive manufacturing
Héroux-Vaillancourt, Mikaël	Could the organisation’s websites be a valid data source for research? - An analysis of the complementary nature between web-based indicators and traditional indicators in innovation studies
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Jansen, Rebecca	A Multidimensional Bibliometric Indicator to Identify Top Players
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Kalcik, Robert	Measuring Tech Emergence: Selected bibliometric approaches for the identification of emerging and promising technologies
Kang, Jaewon	Public R&D funds for influential publications
Kim, Minki	Public R&D funds for influential publications
Kim, Namil	Public R&D funds for influential publications
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Leng, Fu Hai	Identification and Analysis of Innovation Value Stages in Research Fronts and follow-up studies
Lethiecq-Normand, Maude	A Multidimensional Bibliometric Indicator to Identify Top Players
Li, Munan	Identifying the latent technology opportunities based on a perspective of coupling publications with patents
Li, Xin	Identifying the potential emerging technologies: A machine learning approach using academic papers and Twitter data Monitoring and Forecasting the Development Trends of Emerging Technologies Using Text Mining and Citation Analysis: The Case of Nanogenerator Technology
Li, Yin	Forecasting technology emergence: Scenario exploration and prediction accuracy
Liang, Zhentao	Identifying Emerging Technology: A Neural Network Based Solution
Lin, Chih-Ching	A Comparative Analysis on R&D Collaborations in Emerging Sectors: The Emergence of AIOT
Liu, Ziqiang	A study on emerging topics discover by text minging
Lu, Kun	A Machine Learning Framework for Predicting Emerging Technologies Predicting Emerging Technologies: A Text Mining Approach Based on The Temporal Exponential Random Graph Model (TERGM) Methodology.
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Ma, Chao	Identifying Emerging Technology: A Neural Network Based Solution
Mao, Jin	Identifying Emerging Technology: A Neural Network Based Solution
Min, Chao	Measuring technology emergence: Different approaches, different outputs
Moehrle, Martin G	Frugal invention candidates as antecedents of frugal patents – the moderating role of frugal attributes analysed in the medical engineering technology
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Neuhäusler, Peter	Interdisciplinarity beyond bibliometrics - (in)validation of website information as an indication of interdisciplinarity
Nguyen, Thanh Tri	A Comparative Analysis on R&D Collaborations in Emerging Sectors: The Emergence of AIOT
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Ou, Jianjiu	Term-based topic extraction incorporating word embedding techniques: A comparative study
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Pan, Hong	Forecasting technology emergence: Scenario exploration and prediction accuracy
Pan, Xiaonan	Forecasting technology emergence: Scenario exploration and prediction accuracy
Penner, Orion	Evolution of Topics and Novelty in Science
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Qi, Yan	A study on emerging topics discover by text minging Exploring a Method of Detecting Cross-topics of Science and Technology
Qiao, Yali	Revealing Distinct Association Patterns in Disease-Gene-Drug Based on Coupling Network and Subject-Action-Object-Triples
Qin, Xiaochu	Research on subject profile of stem cell based on knowledge graph
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Ramadani, Jasmin	Interdisciplinarity beyond bibliometrics - (in)validation of website information as an indication of interdisciplinarity
Rotolo, Daniele	Emerging Terms and Co-authorship Dynamics: The Case of Microneedle Technology
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Sato, Kazushige	Detecting Fake News via Machine Learning- A Literature Review and Comparison of Existing Algorithms
Schiebel, Edgar	Measuring Tech Emergence: Selected bibliometric approaches for the identification of emerging and promising technologies
Schimke, Antje	Interdisciplinarity beyond bibliometrics - (in)validation of website information as an indication of interdisciplinarity
Song, Xinna	LDA Meets Word2Vec: A Novel Model for Measuring Technology Similarity
Stelzer, Birgit	Measuring Tech Emergence: Selected bibliometric approaches for the identification of emerging and promising technologies
Sun, Bixuan	A Network-Based Automated Approach for Identifying Technological Spillovers with an Application in Solar Photovoltaics
Suominen, Arho	Evaluating the effect of time and journal quality to topics: Structural topic models of scientific publications
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Tang, Li	Forecasting technology emergence: Scenario exploration and prediction accuracy
Therrien, Pierre	The adoption patterns of advanced technologies in Canada
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Umbu Zogara, Kenas Christano	Detecting Fake News via Machine Learning- A Literature Review and Comparison of Existing Algorithms
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Walter, Lothar	Frugal invention candidates as antecedents of frugal patents – the moderating role of frugal attributes analysed in the medical engineering technology
Wang, Chang	A dynamic network analysis method for identifying emerging technology
Wang, Jiayun	Research on Potential Drug Side Effects Recognition Based on SAO Semantic Network Research on Technology Opportunity Analysis of Treating AIDS Based on Link Prediction in Dynamic Networks
Wang, Jing	LDA Meets Word2Vec: A Novel Model for Measuring Technology Similarity Identifying Key Technology Convergence Based on Complex Network and Sentiment Analysis
Wang, Linan	Forecasting technology emergence: Scenario exploration and prediction accuracy
Wang, Xinglu	Research on Evolutionary Process Recognition of Therapeutic Technology for Complicated Diseases
Wang, Xinglu	Revealing Distinct Association Patterns in Disease-Gene-Drug Based on Coupling Network and Subject-Action-Object-Triples Research on Technology Opportunity Analysis of Treating AIDS Based on Link Prediction in Dynamic Networks
Wang, Xuefeng	Revealing Distinct Association Patterns in Disease-Gene-Drug Based on Coupling Network and Subject-Action-Object-Triples Research on Potential Drug Side Effects Recognition Based on SAO Semantic Network Research on Evolutionary Process Recognition of Therapeutic Technology for Complicated Diseases Research on Technology Opportunity Analysis of Treating AIDS Based on Link Prediction in Dynamic Networks
Wang, Yanpeng	Identifying Key Technologies Based on Scientific Papers Using Clustering and Complex Network Theory
Wang, Zhinan	Term-based topic extraction incorporating word embedding techniques: A comparative study
Wang, Zihong	Co-word Network Embedding: A Way to Detect Emerging Technology
Wen, Yang	Identifying the potential emerging technologies: A machine learning approach using academic papers and Twitter data Monitoring and Forecasting the Development Trends of Emerging Technologies Using Text Mining and Citation Analysis: The Case of Nanogenerator Technology
Wen, Yi	A Big Data Knowledge Computing Platform for Information Research
Wiseman, Erica	A Multidimensional Bibliometric Indicator to Identify Top Players
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Xi, Xiaowen	LDA Meets Word2Vec: A Novel Model for Measuring Technology Similarity Identifying Key Technology Convergence Based on Complex Network and Sentiment Analysis
Xia, Mengge	Research on Potential Drug Side Effects Recognition Based on SAO Semantic Network Research on Evolutionary Process Recognition of Therapeutic Technology for Complicated Diseases
Xie, Jia-Chen	A Comparative Analysis on R&D Collaborations in Emerging Sectors: The Emergence of AIOT
Xu, Haiyun	A study on emerging topics discover by text minging
Xu, Shuo	A Machine Learning Framework for Predicting Emerging Technologies Predicting Emerging Technologies: A Text Mining Approach Based on The Temporal Exponential Random Graph Model (TERGM) Methodology.
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Yang, Guancan	A Machine Learning Framework for Predicting Emerging Technologies Predicting Emerging Technologies: A Text Mining Approach Based on The Temporal Exponential Random Graph Model (TERGM) Methodology.
Yang, Ning	Research on subject profile of stem cell based on knowledge graph A Big Data Knowledge Computing Platform for Information Research A study on emerging topics discover by text minging
Yang, Yuhan	Forecasting technology emergence: Scenario exploration and prediction accuracy
Yiyang, Bian	Measuring technology emergence: Different approaches, different outputs
Yuan, Guoting	A study on emerging topics discover by text minging
Yue, Zenghui	A study on emerging topics discover by text minging
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Zhang, Di	Identification and Analysis of Innovation Value Stages in Research Fronts and follow-up studies
Zhang, Lin	A enhanced text-based approach to identify and trace technological topics: Illustrated for additive manufacturing
Zhang, Shuo	Revealing Distinct Association Patterns in Disease-Gene-Drug Based on Coupling Network and Subject-Action-Object-Triples
Zhang, Yi	Term-based topic extraction incorporating word embedding techniques: A comparative study A dynamic network analysis method for identifying emerging technology
Zhang, Zhiqiang	Research on subject profile of stem cell based on knowledge graph A Big Data Knowledge Computing Platform for Information Research
Zhao, Yajuan	Identifying Key Technologies Based on Scientific Papers Using Clustering and Complex Network Theory
Zhou, Yuan	Co-word Network Embedding: A Way to Detect Emerging Technology
Zhu, Yihe	A dynamic network analysis method for identifying emerging technology
Zou, Fang	A enhanced text-based approach to identify and trace technological topics: Illustrated for additive manufacturing

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