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necessary creation of smart cities. Big Data Analytics for Smart and Connected Cities is a pivotal reference source that provides vital research;
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The federal and private sector have a strong interest in the application of big data analytics to connected vehicles and smart cities. It;
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This book presents the latest advances in computational intelligence and data analytics for sustainable future smart cities. It focuses on;
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for smart cities. This book aims to attract works on multidisciplinary research spanning across the computer science and engineering;
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, big data analytics, smart computing, smart cities, Internet of things (IoT), data communication, cloud computing, machine learning algorithms;
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Internet of Things (CIoT) for smart cities, Artificial Intelligence applications for cognitive cities, and cognitive smart cities using big data;
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Smart Cities: Big Data Prediction Methods and Applications is the first reference to provide a comprehensive overview of smart cities with;
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Considers service-oriented architecture and event-driven architecture for smart city applications Explains how to leverage big data analytics for;
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Considers service-oriented architecture and event-driven architecture for smart city applications Explains how to leverage big data analytics for;
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advances in the areas of big data analytics, data analytics in cloud, smart cities and grid, etc. This volume primarily focuses on the application;
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Artificial Intelligence and Big Data Analytics for Smart Healthcare serves as a key reference for practitioners and experts involved;
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in smart cities. The smart city is an advanced technological area that is capable of understanding the environment by examining the data to improve;
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data analytics, and trading models can improve road safety, healthcare, smart water management, and a low-carbon economy. A must-read for;
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data analytics, and trading models can improve road safety, healthcare, smart water management, and a low-carbon economy. A must-read for;
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essential component for every organization and technologies such as health care, financial trading, Internet of Things, Smart Cities or Cyber;
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emergence of big data science and analytics, and by the increasing adoption of the underlying technologies in scientific and scholarly research;
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of integrating big data-driven insights into transport planning and smart cities Presents practical advice on how to implement smart mobility;
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Most applications generate large datasets, like social networking and social influence programs, smart cities applications, smart house;
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. The fourth part of the book examines analytics for marketing decision-making and the roles of big data analytics for market intelligence and;
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. The fourth part of the book examines analytics for marketing decision-making and the roles of big data analytics for market intelligence and;
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from smart grid deployments. Readable and accessible, Big Data Analytics Strategies for the Smart Grid addresses the needs of applying big;
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) has generated significant amount of heterogeneous and multimodal data, known as big data. To deal with this big data, we require efficient and;
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Internet and World Wide Web platforms, big data analytics, software, social media and civic technologies allow for the creation of smart;
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Internet and World Wide Web platforms, big data analytics, software, social media and civic technologies allow for the creation of smart;
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and smart city: data analytics and security; data analytics and healthcare systems; machine learning-based big data processing; emerging data;
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topics in state of the arts of technologies and solutions related to smart cities, including big data and cloud computing, collaborative;
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from 138 submissions. The papers were organized in topical sections named: e-business; big data analytics, open science and open data;
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