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Distributed Computing in Big Data Analytics

decision making. Principles of distributed computing are the keys to big data technologies and analytics. The mechanisms related to data storage;

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Innovative Data Communication Technologies and Application

, communication security, machine learning, informatics, mobile computing, cloud computing and big data analytics. The best selected papers, presented at;

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Handbook of Big Data Analytics: Applications in ICT, security and business analytics

Big Data analytics is the complex process of examining big data to uncover information such as correlations, hidden patterns, trends and;

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Handbook of Big Data Analytics: Methodologies

Big Data analytics is the complex process of examining big data to uncover information such as correlations, hidden patterns, trends and;

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Advances on Smart and Soft Computing

, big data analytics, smart computing, smart cities, Internet of things (IoT), data communication, cloud computing, machine learning algorithms;

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Big Data Analytics for Sustainable Computing

Big data consists of data sets that are too large and complex for traditional data processing and data management applications. Therefore;

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Big-Data Analytics for Cloud, IoT and Cognitive Computing

The definitive guide to successfully integrating social, mobile, Big-Data analytics, cloud and IoT principles and technologies The main;

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Big Data and Visual Analytics

This book provides users with cutting edge methods and technologies in the area of big data and visual analytics, as well as an insight to;

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Managerial Perspectives on Intelligent Big Data Analytics

Big data, analytics, and artificial intelligence are revolutionizing work, management, and lifestyles and are becoming disruptive;

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Data Analysis in the Cloud

NoSQL models. The book also includes techniques for conducting high-performance distributed analysis of large data on clouds. Finally, the book;

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Internet and Distributed Computing Systems

computing and big data; distributed scheduling and optimization; internet of things and its application; smart networked transportation and;

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Green Computing and Predictive Analytics for Healthcare

Big Data, Cloud Computing, Distributed Computing and Mobile Communications. Dr. Chinmay Chakraborty is an Assistant Professor at the;

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Intelligent Systems Technologies and Applications

Distributed Computing and, Business Intelligence and Big Data Analytics originally presented at the International Symposium on Intelligent Systems;

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Emerging Technologies in Computing

technology, AI, expert systems and big data analytics, Web information systems and applications, security, database system, economics and business;

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Big Data Technologies and Applications

The objective of this book is to introduce the basic concepts of big data computing and then to describe the total solution of big data;

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Big Data Analytics in Cybersecurity

Big data is presenting challenges to cybersecurity. For an example, the Internet of Things (IoT) will reportedly soon generate a staggering;

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Big Data

Big data has always been a major challenge in geoinformatics as geospatial data come in various types and formats, new geospatial data are;

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Big Data

Big data has always been a major challenge in geoinformatics as geospatial data come in various types and formats, new geospatial data are;

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Data Science and Big Data Analytics in Smart Environments

, data analytics, methods and algorithms used in Big Data processing and storage environments is significant in designing and implementing a;

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Modern Big Data Architectures

suitable for a wide variety of applications. The author, an internationally-recognized expert in Big Data and distributed Artificial Intelligence;

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Big Data Computing and Communications

This book constitutes the proceedings of the Second International Conference on Big Data Computing and Communications, BigCom 2016, held;

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Supercomputing

, big data, data analytics, visualization and storage, applications for science and engineering, and emer- ging technologies.;

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Soft Computing in Data Science

organized in topical sections on information and customer analytics; visual data science; machine and deep learning; big data analytics;

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Big Data Analytics for Sensor-Network Collected Intelligence

Big Data Analytics for Sensor-Network Collected Intelligence explores state-of-the-art methods for using advanced ICT technologies to;

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Big Data Analytics for Internet of Things

BIG DATA ANALYTICS FOR INTERNET OF THINGS Discover the latest developments in IoT Big Data with a new resource from established and;

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Managing Distributed Cloud Applications and Infrastructure

, telecommunications, big data analytics, and smart cities.;

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Big Data, Data Mining, And Machine Learning

With big data analytics comes big insights into profitability Big data is big business. But having the data and the computational power to;

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