An Extension Collaborative Innovation Model in the Context of Big Data

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Publisher : Infinite Study
ISBN 13 :
Total Pages : 23 pages
Book Rating : 4./5 ( download)

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Book Synopsis An Extension Collaborative Innovation Model in the Context of Big Data by : Xingsen Li

Download or read book An Extension Collaborative Innovation Model in the Context of Big Data written by Xingsen Li and published by Infinite Study. This book was released on with total page 23 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

AN EXTENSION COLLABORATIVE INNOVATION MODEL IN THE CONTEXT OF BIG DATA

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Publisher : Infinite Study
ISBN 13 :
Total Pages : 23 pages
Book Rating : 4./5 ( download)

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Book Synopsis AN EXTENSION COLLABORATIVE INNOVATION MODEL IN THE CONTEXT OF BIG DATA by : XINGSEN LI

Download or read book AN EXTENSION COLLABORATIVE INNOVATION MODEL IN THE CONTEXT OF BIG DATA written by XINGSEN LI and published by Infinite Study. This book was released on with total page 23 pages. Available in PDF, EPUB and Kindle. Book excerpt: The processes of generating innovative solutions mostly rely on skilled experts who are usually unavailable and their outcomes have uncertainty.

Collected Papers. Volume V

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Publisher : Infinite Study
ISBN 13 : 159973317X
Total Pages : 336 pages
Book Rating : 4.73/5 ( download)

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Book Synopsis Collected Papers. Volume V by : Florentin Smarandache

Download or read book Collected Papers. Volume V written by Florentin Smarandache and published by Infinite Study. This book was released on 2014-10-14 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Data Science

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Publisher : Springer Nature
ISBN 13 : 9811528101
Total Pages : 720 pages
Book Rating : 4.01/5 ( download)

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Book Synopsis Data Science by : Jing He

Download or read book Data Science written by Jing He and published by Springer Nature. This book was released on 2020-02-01 with total page 720 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Brain Informatics

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Publisher : Springer Nature
ISBN 13 : 3030869938
Total Pages : 606 pages
Book Rating : 4.39/5 ( download)

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Book Synopsis Brain Informatics by : Mufti Mahmud

Download or read book Brain Informatics written by Mufti Mahmud and published by Springer Nature. This book was released on 2021-09-15 with total page 606 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

New Horizons for a Data-Driven Economy

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Publisher : Springer
ISBN 13 : 3319215698
Total Pages : 303 pages
Book Rating : 4.93/5 ( download)

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Book Synopsis New Horizons for a Data-Driven Economy by : José María Cavanillas

Download or read book New Horizons for a Data-Driven Economy written by José María Cavanillas and published by Springer. This book was released on 2016-04-04 with total page 303 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Big Data and Security

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Publisher : Springer Nature
ISBN 13 : 9819933005
Total Pages : 759 pages
Book Rating : 4.06/5 ( download)

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Book Synopsis Big Data and Security by : Yuan Tian

Download or read book Big Data and Security written by Yuan Tian and published by Springer Nature. This book was released on 2023-05-30 with total page 759 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Data Science and Productivity Analytics

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Publisher : Springer Nature
ISBN 13 : 3030433846
Total Pages : 441 pages
Book Rating : 4.40/5 ( download)

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Book Synopsis Data Science and Productivity Analytics by : Vincent Charles

Download or read book Data Science and Productivity Analytics written by Vincent Charles and published by Springer Nature. This book was released on 2020-05-23 with total page 441 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book includes a spectrum of concepts, such as performance, productivity, operations research, econometrics, and data science, for the practically and theoretically important areas of ‘productivity analysis/data envelopment analysis’ and ‘data science/big data’. Data science is defined as the collection of scientific methods, processes, and systems dedicated to extracting knowledge or insights from data and it develops on concepts from various domains, containing mathematics and statistical methods, operations research, machine learning, computer programming, pattern recognition, and data visualisation, among others. Examples of data science techniques include linear and logistic regressions, decision trees, Naïve Bayesian classifier, principal component analysis, neural networks, predictive modelling, deep learning, text analysis, survival analysis, and so on, all of which allow using the data to make more intelligent decisions. On the other hand, it is without a doubt that nowadays the amount of data is exponentially increasing, and analysing large data sets has become a key basis of competition and innovation, underpinning new waves of productivity growth. This book aims to bring a fresh look onto the various ways that data science techniques could unleash value and drive productivity from these mountains of data. Researchers working in productivity analysis/data envelopment analysis will benefit from learning about the tools available in data science/big data that can be used in their current research analyses and endeavours. The data scientists, on the other hand, will also get benefit from learning about the plethora of applications available in productivity analysis/data envelopment analysis.

Collaborative Innovation Networks

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Publisher : Springer
ISBN 13 : 3030172384
Total Pages : 224 pages
Book Rating : 4.81/5 ( download)

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Book Synopsis Collaborative Innovation Networks by : Yang Song

Download or read book Collaborative Innovation Networks written by Yang Song and published by Springer. This book was released on 2019-06-26 with total page 224 pages. Available in PDF, EPUB and Kindle. Book excerpt: Collaborative innovation networks are cyberteams of motivated individuals, and are self-organizing emergent social systems with the potential to promote health, happiness and individual growth in real-world work settings. This book describes how to identify and nurture collaborative innovation networks in order to shape the future working environment and pave the way for health and happiness, and how to develop future technologies to promote economic development, social innovation and entrepreneurship. The expert contributions and case studies presented also offer insights into how large corporations can creatively generate solutions to real-world problems by means of self-organizing mechanisms, while simultaneously promoting the well-being of individual workers. The book also discusses how such networks can benefit startups, offering new self-organizing forms of leadership in which all stakeholders are encouraged to collaborate in the development of new products.

Web and Big Data

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Publisher : Springer Nature
ISBN 13 : 981972421X
Total Pages : 539 pages
Book Rating : 4.15/5 ( download)

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Book Synopsis Web and Big Data by : Xiangyu Song

Download or read book Web and Big Data written by Xiangyu Song and published by Springer Nature. This book was released on with total page 539 pages. Available in PDF, EPUB and Kindle. Book excerpt: