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Anticipating Future Innovation Pathways Through Large Data Analysis

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Cover of 'Anticipating Future Innovation Pathways Through Large Data Analysis'

Table of Contents

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    Book Overview
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    Chapter 1 FTA as Due Diligence for an Era of Accelerated Interdiction by an Algorithm-Big Data Duo
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    Chapter 2 A Conceptual Framework of Tech Mining Engineering to Enhance the Planning of Future Innovation Pathway (FIP)
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    Chapter 3 Profile and Trends of FTA and Foresight
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    Chapter 4 Recent Trends in Technology Mining Approaches: Quantitative Analysis of GTM Conference Proceedings
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    Chapter 5 Anticipating Future Pathways of Science, Technologies, and Innovations: (Map of Science)2 Approach
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    Chapter 6 Towards Foresight 3.0: The HCSS Metafore Approach—A Multilingual Approach for Exploring Global Foresights
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    Chapter 7 Using Enhanced Patent Data for Future-Oriented Technology Analysis
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    Chapter 8 Innovation and Design Process Ontology
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    Chapter 9 Generating Competitive Technical Intelligence Using Topical Analysis, Patent Citation Analysis, and Term Clumping Analysis
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    Chapter 10 Identifying Targets for Technology Mergers and Acquisitions Using Patent Information and Semantic Analysis
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    Chapter 11 Identifying Technological Topic Changes in Patent Claims Using Topic Modeling
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    Chapter 12 Semi-automatic Technology Roadmapping Composing Method for Multiple Science, Technology, and Innovation Data Incorporation
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    Chapter 13 Generating Futures from Text—Scenario Development Using Text Mining
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    Chapter 14 Additive Manufacturing: Importance and Challenges for Latin America
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    Chapter 15 The Application of Social Network Analysis: Case of Smart Roofing
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    Chapter 16 Building a View of the Future of Antibiotics Through the Analysis of Primary Patents
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    Chapter 17 Combining Scientometrics with Patent-Metrics for CTI Service in R&D Decision-Making: Practices of National Science Library of CAS
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    Chapter 18 Tech Mining for Emerging STI Trends Through Dynamic Term Clustering and Semantic Analysis: The Case of Photonics
Attention for Chapter 2: A Conceptual Framework of Tech Mining Engineering to Enhance the Planning of Future Innovation Pathway (FIP)
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Citations

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Chapter title
A Conceptual Framework of Tech Mining Engineering to Enhance the Planning of Future Innovation Pathway (FIP)
Chapter number 2
Book title
Anticipating Future Innovation Pathways Through Large Data Analysis
Published by
Springer International Publishing, July 2016
DOI 10.1007/978-3-319-39056-7_2
Book ISBNs
978-3-31-939054-3, 978-3-31-939056-7
Authors

Munan Li

Editors

Tugrul U. Daim, Denise Chiavetta, Alan L. Porter, Ozcan Saritas

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 9 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 33%
Researcher 2 22%
Student > Bachelor 1 11%
Student > Master 1 11%
Student > Doctoral Student 1 11%
Other 0 0%
Unknown 1 11%
Readers by discipline Count As %
Social Sciences 3 33%
Engineering 2 22%
Computer Science 1 11%
Business, Management and Accounting 1 11%
Unknown 2 22%