Coming Soon Patent Analysis and Mining for Business Intelligence

Intellectual Property / Patent / Copyright

Patent Analysis and Mining for Business Intelligence

Edited by Bo Jin · Hui Xiong
Coming Soon Springer-Verlag Available January 2029

Specifications

ISBN-13
9789811060496
Publisher
Springer-Verlag
Publication
January 2029
Format
Paperback
Jurisdiction
Singapore ? Countri(es) for reference only

Details

This book provides a comprehensive compendium of recent research on business intelligence-oriented patent data analysis and mining. Through the book, the readers will gain an essential understanding of the following topics:

  • text mining modeling for patent documents, including statistics modeling and key phrase extraction mining
  • the patent retrieval method, including chuck based retrieval and retrieval fusion method, and
  • integrated business solutions for stock dynamics, technology prospecting, and minimizing legal exposure

    This book provides an informative and insightful reference guide for researchers who are newcomers to patent data mining and business intelligence, as well as for professionals and practitioners from industry.

Table of Contents

1. Introduction
1.1 Intellectual Property and Patent Mining
1.2 Challenges and Progresses
1.3 From Patent Mining to Business Intelligence
1.4 Overview of the BookReferences
2. Survey of Patent Mining
2.1 Introduction
2.2 Patent Analysis
2.2.1 Patent Statistics and Visualization
2.2.2 Patent Retrieval
2.2.3 Patent Translate
2.3 Patent Mining
2.3.1 Patent Classification
2.3.2 Patent Recommendation
2.3.3 Patent Prediction
2.4 Tools for Patent Analysis and Mining
2.4.1 Preprocessing
2.4.2 Analysis and Visualization
2.4.3 Patent Map
2.5 DiscussionReferences
3. Text Mining Methods for Patent
3.1 Introduction
3.2 Concepts and Data Description
3.3 Sememe Statistics Modeling
3.4 Key-Phrase Extraction
3.5 Patent Classification
3.6 Performance Evaluation
3.7 Related Work
3.8 DiscussionReferences
4. Patent Retrieval Methods
4.1 Introduction
4.2 Chunk-based Modeling
4.3 Textual Chunk Retrieval
4.4 Retrieval Fusion Modeling
4.5 Performance Evaluation
4.6 Related Work
4.7 DiscussionReferences
5. Patent Mining Application for Business Intelligence
5.1 Introduction
5.2 Patent Activities on Stock Dynamics
5.3 Patent Mining for Technology Prospecting
5.4 Patent Recommendation for Minimizing Legal Exposure
5.5 Performance Evaluation
5.6 Related Work
5.7 Discussion References
6. Conclusion
6.1 Promising Topics
6.2 The Prospects
Appendix
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