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Buyong Jeong Daejung Kim Jieun Kim Patent Analytics (Paperback) (UK IMPORT)

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Item specifics

Condition
Brand New: A new, unread, unused book in perfect condition with no missing or damaged pages. See all condition definitionsopens in a new window or tab
Book Title
Patent Analytics : Transforming IP Strategy Into Intelligence
Publication Name
Patent Analytics
Title
Patent Analytics
Subtitle
Transforming IP Strategy into Intelligence
Author
Daejung Kim, Jieun Kim, Buyong Jeong
Format
Trade Paperback
EAN
9789811629327
ISBN
9789811629327
Edition
1st ed. 2021
Publisher
Springer
Genre
Technology & Engineering, Law, Business & Economics
Topic
General, Management Science, Business Law
Release Year
2022
Release Date
07/07/2022
Language
English
Country/Region of Manufacture
SG
Item Height
235mm
Item Length
9.3in
Item Weight
12.5 Oz
Publication Year
2022
Item Width
6.1in
Number of Pages
Xxii, 206 Pages

About this product

Product Information

Through the prisms of a data scientist, a patent attorney, and a designer, this book demystifies the complexity of patent data and its structure and reveals their hidden connections by employing elaborate data analytics and visualizations using a network map. This book provides a practical guide to introduce and apply patent network analytics and visualization tools in your business. We incorporate case studies from renowned companies such as Apple, Dyson, Adobe, Bose, Samsung and more, to scrutinise how their underlying values of patent network drive innovation in their business. Finally, this book advances readers' perspective of patent gazettes as big data and as a tool for innovation analytics when coupled with Artificial Intelligence.

Product Identifiers

Publisher
Springer
ISBN-10
9811629323
ISBN-13
9789811629327
eBay Product ID (ePID)
17057275271

Product Key Features

Book Title
Patent Analytics : Transforming IP Strategy Into Intelligence
Author
Daejung Kim, Jieun Kim, Buyong Jeong
Format
Trade Paperback
Language
English
Topic
General, Management Science, Business Law
Publication Year
2022
Genre
Technology & Engineering, Law, Business & Economics
Number of Pages
Xxii, 206 Pages

Dimensions

Item Length
9.3in
Item Width
6.1in
Item Weight
12.5 Oz

Additional Product Features

Number of Volumes
1 Vol.
Lc Classification Number
Hf4999.2-6182
Table of Content
Introduction Part I: Data. Emergence of Patent Big Data Chapter 1 Patent as Big Data? The journal of 230 years Patent, a living organism Patent as open data Chapter 2 Significant Points in the History of Patents 1836, The First Patent with Claims 1790, Start of the U.S. Patent System Again 1836, The Great Fire and Patent Numbering 1947, Genesis of Citation Chapter 3 Understanding Patent Data The Meaning of Patent Gazette Utility, Design Patents, and Trademarks The Butterfly Effect of Design Patent: Drill Bit''s partial claim Claims, "Legally, Less is More!" Part II. Network: Patent Network Visualization Chapter 4 Prelude to the Era of Patent Data Visualization Unexpected Encounters Bigger, Faster and Stronger Timeline and Panoramic Viewpoint Chapter 5 Effective Visual Mapping of Patent Data One Dimensional Data Two-dimensional Data Multidimensional Data Chapter 6 The Power of Patent Citation Networks What is a Citation Worth? The Apple''s Design Patent Network Knowledge Flow of Patent Citation Draw Patent Transaction Networks Chapter 7 A Complete Guide to Patent Network Visualization An Overview of Tools Four Practical Steps to Get Started Part III Analytics: Uncharted Corporate Innovations Chapter 8 Dyson, From Bladeless Fan to Hair Dryer Chapter 9 Bose''s Beyond Sound Chapter 10 Innovation Assimilation of M&As in Adobe. Chapter 11 Network Patterns of Inventor Collaboration: Google vs. Apple Chapter 12 Samsung vs. LG, Map of the Competitive Landscape Perspectives The Renaissance of Innovation Analytics with AI Chapter 13 Is Trademark the First Sparring Partner of AI? Chapter 14 New Patent or Not? From Search to Legal Automation Chapter 15 Legal Technologies in Action Afterword
Copyright Date
2021
Dewey Decimal
608.02856312
Dewey Edition
23
Illustrated
Yes

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