AN EXTENSION COLLABORATIVE INNOVATION MODEL IN THE CONTEXT OF BIG DATA PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download AN EXTENSION COLLABORATIVE INNOVATION MODEL IN THE CONTEXT OF BIG DATA PDF full book. Access full book title AN EXTENSION COLLABORATIVE INNOVATION MODEL IN THE CONTEXT OF BIG DATA by XINGSEN LI. Download full books in PDF and EPUB format.
Author: XINGSEN LI
Publisher: Infinite Study
ISBN:
Category :
Languages : en
Pages : 23
Get Book Here
Book Description
The processes of generating innovative solutions mostly rely on skilled experts who are usually unavailable and their outcomes have uncertainty.
Author: XINGSEN LI
Publisher: Infinite Study
ISBN:
Category :
Languages : en
Pages : 23
Get Book Here
Book Description
The processes of generating innovative solutions mostly rely on skilled experts who are usually unavailable and their outcomes have uncertainty.
Author: Xingsen Li
Publisher: Infinite Study
ISBN:
Category :
Languages : en
Pages : 23
Get Book Here
Book Description
The processes of generating innovative solutions mostly rely on skilled experts who are usually unavailable and their outcomes have uncertainty. Computer science and information technology are changing the innovation environment and accumulating Big Data from which a lot of knowledge is to be discovered.
Author: Florentin Smarandache
Publisher: Infinite Study
ISBN: 159973317X
Category : Mathematics
Languages : en
Pages : 336
Get Book Here
Book Description
This volum includes 37 papers of mathematics or applied mathematics written by the author alone or in collaboration.They were written during the years 2010-2014, about the hyperbolic Menelaus theorem in the Poincare disc of hyperbolic geometry, and the Menelaus theorem for quadrilaterals inhyperbolic geometry, about some properties of the harmonic quadrilateral related to triangle simedians and to Apollonius circles, etc.
Author: José María Cavanillas
Publisher: Springer
ISBN: 3319215698
Category : Computers
Languages : en
Pages : 312
Get Book Here
Book Description
In this book readers will find technological discussions on the existing and emerging technologies across the different stages of the big data value chain. They will learn about legal aspects of big data, the social impact, and about education needs and requirements. And they will discover the business perspective and how big data technology can be exploited to deliver value within different sectors of the economy. The book is structured in four parts: Part I “The Big Data Opportunity” explores the value potential of big data with a particular focus on the European context. It also describes the legal, business and social dimensions that need to be addressed, and briefly introduces the European Commission’s BIG project. Part II “The Big Data Value Chain” details the complete big data lifecycle from a technical point of view, ranging from data acquisition, analysis, curation and storage, to data usage and exploitation. Next, Part III “Usage and Exploitation of Big Data” illustrates the value creation possibilities of big data applications in various sectors, including industry, healthcare, finance, energy, media and public services. Finally, Part IV “A Roadmap for Big Data Research” identifies and prioritizes the cross-sectorial requirements for big data research, and outlines the most urgent and challenging technological, economic, political and societal issues for big data in Europe. This compendium summarizes more than two years of work performed by a leading group of major European research centers and industries in the context of the BIG project. It brings together research findings, forecasts and estimates related to this challenging technological context that is becoming the major axis of the new digitally transformed business environment.
Author: Jing He
Publisher: Springer Nature
ISBN: 9811528101
Category : Computers
Languages : en
Pages : 720
Get Book Here
Book Description
This book constitutes the refereed proceedings of the 6th International Conference on Data Science, ICDS 2019, held in Ningbo, China, during May 2019. The 64 revised full papers presented were carefully reviewed and selected from 210 submissions. The research papers cover the areas of Advancement of Data Science and Smart City Applications, Theory of Data Science, Data Science of People and Health, Web of Data, Data Science of Trust and Internet of Things.
Author: Mufti Mahmud
Publisher: Springer Nature
ISBN: 3030869938
Category : Computers
Languages : en
Pages : 606
Get Book Here
Book Description
This book constitutes the refereed proceedings of the 14th International Conference on Brain Informatics, BI 2021, held in September 2021. The conference was held virtually due to the COVID-19 pandemic. The 49 full and 2 short papers together with 18 abstract papers were carefully reviewed and selected from 90 submissions. The papers are organized in the following topical sections: cognitive and computational foundations of brain science; investigations of human information processing systems; brain big data analytics, curation and management; informatics paradigms for brain and mental health research; and brain-machine intelligence and brain-inspired computing.
Author: Henry William Chesbrough
Publisher: Harvard Business Press
ISBN: 9781422102831
Category : Business & Economics
Languages : en
Pages : 280
Get Book Here
Book Description
"Based on the author's extensive field research, academic study, and professional experience, Open Innovation calls for revolutionary organizing principles for managing research and innovation. Through descriptions of the innovation processes of Xerox, IBM, Proctor & Gamble, and other firms, Henry Chesbrough shows you the principles of open innovation in practice."--BOOK JACKET.
Author: Vincenzo Morabito
Publisher: Springer
ISBN: 3319106651
Category : Business & Economics
Languages : en
Pages : 202
Get Book Here
Book Description
This book presents and discusses the main strategic and organizational challenges posed by Big Data and analytics in a manner relevant to both practitioners and scholars. The first part of the book analyzes strategic issues relating to the growing relevance of Big Data and analytics for competitive advantage, which is also attributable to empowerment of activities such as consumer profiling, market segmentation, and development of new products or services. Detailed consideration is also given to the strategic impact of Big Data and analytics on innovation in domains such as government and education and to Big Data-driven business models. The second part of the book addresses the impact of Big Data and analytics on management and organizations, focusing on challenges for governance, evaluation, and change management, while the concluding part reviews real examples of Big Data and analytics innovation at the global level. The text is supported by informative illustrations and case studies, so that practitioners can use the book as a toolbox to improve understanding and exploit business opportunities related to Big Data and analytics.
Author: Jacob Torfing
Publisher: Georgetown University Press
ISBN: 162616360X
Category : Business & Economics
Languages : en
Pages : 364
Get Book Here
Book Description
Public sector innovation is important because the pressures of growing expectations from citizens, budget crunches, and a surge of complex governance problems cannot be solved by standard government solutions or increased funding. In order to innovate, government increasingly needs to collaborate with networks of partners across agency boundaries and especially with the nonprofit and private sectors to find new solutions. This interaction within a network can enhance creative and effective governance solutions. In this book, Jacob Torfing closely examines the link between network-based collaborative governance and innovation, proposes a framework for the study of collaborative innovation, and discusses this approach in light of theoretical insights from other disciplines and from examples of public innovation drawn from the United States, Europe, and Australia. This book will move scholars closer to being able to develop a theory of collaborative innovation.
Author: Yuan Tian
Publisher: Springer Nature
ISBN: 9819933005
Category : Computers
Languages : en
Pages : 759
Get Book Here
Book Description
This book constitutes the refereed proceedings of the 4th International Conference on Big Data and Security, ICBDS 2022, held in Xiamen, China, during December 8–12, 2022. The 51 full papers and 3 short papers included in this book were carefully reviewed and selected from 211 submissions. They were organized in topical sections as follows: answer set programming; big data and new method; intelligence and machine learning security; data technology and network security; sybersecurity and privacy; IoT security.
