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Blockchain, Big Data and Machine Learning

Present book covers new paradigms in Blockchain, Big Data and Machine Learning concepts including applications and case studies. It;

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The International Conference on Deep Learning, Big Data and Blockchain (Deep-BDB 2021)

manuscripts presenting state-of-the-art work in the areas of deep learning, blockchain and big data. All the manuscripts included in this book have;

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Big Data and Security

. The papers included in this book are organized according to the topical sections on cybersecurity and privacy, big data, blockchain and;

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Big Data and Security

papers included in this book cover topics in cybersecurity & privacy, big data, blockchain & internet of things, security in cloud and fog;

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Veracity of Big Data

machine learning, statistics, formal methods, and the Blockchain technology. Veracity of Big Data serves as an introduction to machine learning;

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Machine Learning and Big Data Analytics Paradigms

This book is intended to present the state of the art in research on machine learning and big data analytics. The accepted chapters covered;

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Web and Big Data

and Application, Query Processing, Big Data and Blockchain.;

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Web and Big Data

and Application, Query Processing, Big Data and Blockchain.;

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Machine Learning and Big Data Analytics (Proceedings of International Conference on Machine Learning and Big Data Analytics (ICMLBDA) 2021)

This edited volume on machine learning and big data analytics (Proceedings of ICMLBDA 2021) is intended to be used as a reference book for;

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Big Data and Machine Learning in Quantitative Investment

Get to know the 'why' and 'how' of machine learning and big data in quantitative investment Big Data and Machine Learning;

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Blockchain Technology and Applications

adoption. Cloud computing, big data analytics, machine and deep learning algorithm, and connected and embedded devices all are driving blockchain;

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Machine Learning, Big Data, and IoT for Medical Informatics

Machine Learning, Big Data, and IoT for Medical Informatics focuses on the latest techniques adopted in the field of medical informatics;

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IoT Security Paradigms and Applications

Integration of IoT (Internet of Things) with big data and cloud computing has brought forward numerous advantages and challenges such as;

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IoT Security Paradigms and Applications

Integration of IoT (Internet of Things) with big data and cloud computing has brought forward numerous advantages and challenges such as;

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Web Information Systems and Applications

submissions. The papers are grouped in topical sections on machine learning and data mining, cloud computing and big data, information retrieval;

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Proceedings of International Conference on Big Data Machine Learning and Applic

This book covers selected high-quality research papers presented at the International Conference on Big Data, Machine Learning, and;

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Intelligent Computing and Networking

learning, deep learning, fuzzy logic, natural language processing, human-machine interaction, big data mining, data science and mining;

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Machine Learning, Optimization, and Big Data

This book constitutes revised selected papers from the First International Workshop on Machine Learning, Optimization, and Big Data, MOD;

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Proceedings of the International Conference on Big Data, IoT, and Machine Learning

This book gathers a collection of high-quality peer-reviewed research papers presented at the International Conference on Big Data, IoT and;

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Future Data and Security Engineering

Studies in Machine Learning, Advances in Query Processing and Optimization, Big Data Analytics and Distributed Systems, Deep Learning and;

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Web and Big Data

Systems; Information Extraction and Retrieval; Machine Learning; Blockchain; Data Mining; Text Analysis and Mining; Spatial, Temporal and;

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Web and Big Data

Systems; Information Extraction and Retrieval; Machine Learning; Blockchain; Data Mining; Text Analysis and Mining; Spatial, Temporal and;

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Blockchain Data Analytics For Dummies

, executives, and data managers will find information and inspiration to adopt blockchain as a big data tool. Blockchain expert Michael G. Solomon;

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Intelligence Science and Big Data Engineering. Big Data and Machine Learning

submissions.The papers are organized in two parts: visual data engineering; and big data and machine learning. They cover a large range of topics;

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Future Data and Security Engineering

: security issues in big data; big data analytics and distributed systems; advances in big data query processing and optimization; blockchain and;

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Machine Learning and Big Data

of this book is to provide awareness of algorithms used for machine learning and big data in the academic and professional community. The 17;

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Blockchain for Big Data

information. In this book, the author demonstrates how blockchain technology can overcome some limitations in big data technology and can promote the;

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