| 書目名稱 | Patent Analytics | | 副標(biāo)題 | Transforming IP Stra | | 編輯 | Jieun Kim,Buyong Jeong,Daejung Kim | | 視頻video | http://file.papertrans.cn/743/742019/742019.mp4 | | 概述 | First book on intellectual property for business intelligence, focused on corporate innovation and business value.Offers high-level tutorials and case studies for IP-driven innovation in business by u | | 圖書封面 |  | | 描述 | 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. | | 出版日期 | Book 2021 | | 關(guān)鍵詞 | Network Analysis; Intellectual Property; Patent Big Data; Data Visualisation; Legal Technology; Patent Da | | 版次 | 1 | | doi | https://doi.org/10.1007/978-981-16-2930-3 | | isbn_softcover | 978-981-16-2932-7 | | isbn_ebook | 978-981-16-2930-3 | | copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor |
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