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- Author: Till Albert
- Publisher: Springer Gabler
- Year: 2016
- Pages: 311
- ISBN-10: 3658121319
- ISBN-13: 9783658121310
- Format: 14.8 x 21 x 2 cm, minkšti viršeliai
- Language: English
- SAVE -10% with code: EXTRA
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Description
Till Albert presents a machine learning based approach to harnessing information contained in big data from different media sources such as patents, scientific publications, or the internet. He shows how this information can be used for automated maturity evaluation of yet unknown technologies. Elaborate patent based indicators contain very useful information on technological aspects of maturity but lack for others such as social, economic, ecological, or political factors. The approach presented in this book is able to incorporate these other factors and provide a firm basis for robust technology maturity and speed of maturity evaluation.
EXTRA 10 % discount with code: EXTRA
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- Author: Till Albert
- Publisher: Springer Gabler
- Year: 2016
- Pages: 311
- ISBN-10: 3658121319
- ISBN-13: 9783658121310
- Format: 14.8 x 21 x 2 cm, minkšti viršeliai
- Language: English English
Till Albert presents a machine learning based approach to harnessing information contained in big data from different media sources such as patents, scientific publications, or the internet. He shows how this information can be used for automated maturity evaluation of yet unknown technologies. Elaborate patent based indicators contain very useful information on technological aspects of maturity but lack for others such as social, economic, ecological, or political factors. The approach presented in this book is able to incorporate these other factors and provide a firm basis for robust technology maturity and speed of maturity evaluation.
Reviews