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of this type of technology into more traditional heavy industries, such as the railways, has been limited. Innovative Applications of Big Data;
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practical introduction to state-of-the-art data analysis for railway track engineering, Big Data and Differential Privacy: Analysis Strategies for;
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promote and disseminate the mathematical tools for Statistics & Big Data, MSO (Modeling, Simulation and Optimization) and their industrial;
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This proceedings volume contains selected papers from the Fourth International Conference on Big Data Applications and Services (BigDAS;
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- and small-scale systems. Applications of Big Data in Large- and Small-Scale Systems includes state-of-the-art research findings on the;
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- and small-scale systems. Applications of Big Data in Large- and Small-Scale Systems includes state-of-the-art research findings on the;
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to address increasingly dynamic markets. In recent years, the development of innovative deep learning and big data analytics algorithms;
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introduction to big-data transportation starting from an overview on the development of big data transportation in various countries. This is followed;
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Techniques and Optimization Strategies in Big Data Analytics is a collection of innovative research on the methods and applications of deep learning;
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This book covers selected high-quality research papers presented at the International Conference on Big Data, Machine Learning, and;
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This open access book explores cutting-edge solutions and best practices for big data and data-driven AI applications for the data-driven;
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professionals in the field of data computation and analysis. Presenting a mix of industry cases and theory, Big Data Computing discusses the;
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professionals in the field of data computation and analysis. Presenting a mix of industry cases and theory, Big Data Computing discusses the;
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are organized into the following topical headings: big data analytics and distributed systems; security and privacy engineering; industry 4.0;
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The idea behind this book is to simplify the journey of aspiring readers and researchers to understand Big Data, IoT and Machine Learning;
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learning, and network analytics. As the study of big data becomes more popular, there is an urgent demand for studies on high-level computational;
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current and emerging topics related to the Internet of Things such as big data research, new services and analytics, Internet of Things (IoT;
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, industry professionals and students, the book covers a variety of topics, including expert applications and artificial intelligence/machine;
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The book offers a timely snapshot of neural network technologies as a significant component of big data analytics platforms. It promotes;
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of intelligent technologies in various branches of the industry. Intelligent computational methods and big data foster innovation and enable the industry;
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of intelligent technologies in various branches of the industry. Intelligent computational methods and big data foster innovation and enable the industry;
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Networking for Big Data supplies an unprecedented look at cutting-edge research on the networking and communication aspects of Big Data;
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Networking for Big Data supplies an unprecedented look at cutting-edge research on the networking and communication aspects of Big Data;
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-supporting blockchain and big data, effective prediction using machine learning, classification of dog breed based on CNN, load balancing using the;
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Applications of Big Data in Healthcare: Theory and Practicebegins with the basics of Big Data analysis and introduces the tools;
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From the Foreword: Big Data Management and Processing is [a] state-of-the-art book that deals with a wide range of topical themes;
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From the Foreword: Big Data Management and Processing is [a] state-of-the-art book that deals with a wide range of topical themes;
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