Tag: Big

Proceedings of the 4th International Conference on Big Data Analytics for Cyber-Physical System in Smart City – Volume 1


Free Download Proceedings of the 4th International Conference on Big Data Analytics for Cyber-Physical System in Smart City – Volume 1
English | 2023 | ISBN: 9819908795 | 823 Pages | PDF (True) | 18 MB
This book gathers a selection of peer-reviewed papers presented at the 4th Big Data Analytics for Cyber-Physical System in Smart City (BDCPS 2022) conference, held in Bangkok, Thailand, on December 16-17. The contributions, prepared by an international team of scientists and engineers, cover the latest advances and challenges made in the field of big data analytics methods and approaches for the data-driven co-design of communication, computing, and control for smart cities. Given its scope, it offers a valuable resource for all researchers and professionals interested in big data, smart cities, and cyber-physical systems.

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Pop Economy #Gamification – #Crowfunding – #Big Data – Tecnologia, scienze sociali e innovazione


Free Download Pop Economy: #Gamification – #Crowfunding – #Big Data – Tecnologia, scienze sociali e innovazione
Italiano | 2015 | ISBN: 8820367467 | 169 Pages | EPUB | 5 MB
"È duro fare previsioni, soprattutto riguardanti il futuro." È una citazione attribuita al fisico Niels Bohr e descrive bene il mood di questo libro. Pop Economy indaga gli effetti dell’innovazione tecnologica sulla vita delle persone e, in ultima istanza, sul nostro futuro e sul futuro dell’occupazione. Troppo spesso il domani è presentato come qualcosa da cui difendersi, più che come una promessa di miglioramento. E la tecnologia è vista come il grimaldello che invade le nostre vite. Parole come Big Data, Social Network, Disruption lasciano un senso di disagio e smarrimento. Pop Economy descrive la rivoluzione che sta interessando le scienze sociali, partendo dalla prospettiva che non è la tecnologia a peggiorare le nostre vite, ma il modo, semmai, in cui la si utilizza. Un libro che apre uno sguardo positivo sul futuro perché, come diceva Prévert, "Bisognerebbe tentare di essere felici, se non altro per dare l’esempio".

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Machine Learning and Big Data Analytics


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English | 2023 | ISBN: 3031151747 | 552 Pages | PDF (True) | 18 MB
This edited volume on machine learning and big data analytics (Proceedings of ICMLBDA 2022) is intended to be used as a reference book for researchers and professionals to share their research and reports of new technologies and applications in Machine Learning and Big Data Analytics like biometric Recognition Systems, medical diagnosis, industries, telecommunications, AI Petri Nets Model-Based Diagnosis, gaming, stock trading, Intelligent Aerospace Systems, robot control, law, remote sensing and scientific discovery agents and multiagent systems; and natural language and Web intelligence.

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IoT and Big Data Technologies for Health Care


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English | 2023 | ISBN: 3031335449 | 605 Pages | PDF EPUB (True) | 24 MB
The 23 papers included in this volume were carefully reviewed and selected from 67 submissions. The papers are present newest results in big data technologies for e-health and for e-care. The papers are organized in the following topical sections: big data technologies for e-health; and big data technologies for e-care.

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Hadoop BIG DATA Interview Questions You’ll Most Likely Be Asked


Free Download Hadoop BIG DATA Interview Questions You’ll Most Likely Be Asked
English | 2017 | ISBN: 1946383481 | 132 Pages | EPUB | 1.2 MB
Hadoop BIG DATA Interview Questions You’ll Most Likely Be Asked is a perfect companion to stand ahead above the rest in today’s competitive job market. Rather than going through comprehensive, textbook-sized reference guides, this book includes only the information required immediately for job search to build an IT career. This book puts the interviewee in the driver’s seat and helps them steer their way to impress the interviewer.

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Big Learning Data


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English | 2014 | ISBN: 1562869094 | 160 Pages | PDF EPUB (True) | 10 MB
Welcome to the big data revolution. In today’s wired world, we interact with millions of pieces of information every day. Capturing that information and making sense of it is the revolutionary impact of big data on business-and on learning.

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