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Springer - Anticipating Future Innovation Pathways Book

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Description

Explore the future of technology through the lens of large data analysis. This Springer publication provides a deep look into Tech Mining, a method of text analysis designed to identify upcoming developmental opportunities and applications. By examining the growing availability of electronic text data related to Science, Technology, and Innovation (ST&I), this book offers a roadmap for understanding complex data landscapes. The content focuses on three main areas: utilizing massive electronic text resources, applying diverse methods to process this data while incorporating human expertise, and turning these analyses into actionable intelligence. Readers will learn how to translate data into useful insights regarding emerging science and technology targets. This is an essential resource for those interested in the intersection of knowledge management, data science, and technological forecasting.

Key Features

Identifies promising future developmental opportunities and applications through the specialized field of Tech Mining.

Explores the increasing availability of electronic text data resources related to Science, Technology, and Innovation (ST&I).

Discusses multiple methods for effective data treatment that incorporate human expertise and specific interests.

Provides a framework for translating complex analyses into useful intelligence on emerging S&T targets.

Offers professional insights into the field of knowledge management and large scale data analysis.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
03 August 2016
Listed Since
13 April 2016

Barcode

No barcode data available

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