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, implementation of the tools in a cloud computing framework and the applications for insider threat detection. ;
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chapters focus on diverse and critical Cybersecurity problems, such as Intrusion Detection, Insider Threats, Insider Threats, Collusion Detection;
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intrusion detection, malware analysis, and insider threat detection. However, the data science techniques being applied not only for cyber security;
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big data analytics, and modeling, simulation, and security with big data. It is a valuable resource for researchers in the area of big data;
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The guide to targeting and leveraging business opportunities using big data & analytics By leveraging big data & analytics, businesses;
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Big Data Analytics: Applications in Business and Marketing explores the concepts and applications related to marketing and business as well;
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Big Data Analytics: Applications in Business and Marketing explores the concepts and applications related to marketing and business as well;
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This edited book will serve as a source of reference for technologies and applications for multimodality data analytics in big data;
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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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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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data analytics tasks, such as clustering, classification, time series modeling, outlier detection, collaborative filtering, community detection;
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Big Data Analytics with R and Hadoop is a tutorial style book that focuses on all the powerful big data tasks that can be achieved by;
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analytics, traffic predictions, gender based classification on e-commerce data, recommender systems, Big Data regression with Apache Spark, visual;
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in healthcare and clinical research. The book provides the latest research findings on the use of big data analytics with statistical and machine;
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This book presents the latest advances in machine intelligence and big data analytics to improve early warning of cyber-attacks, for;
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Advances in Big Data Analytics is a compendium of articles and papers that were presented at ABDA '14, an international conference that;
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analytics, disease network analysis, and techniques for big data Analytics and health information technology.;
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Data Science and Analytics explores the solutions to problems in society, environment and in industry. With the increase in the;
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This book provides detailed descriptions of big data solutions for activity detection and forecasting of very large numbers of moving;
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This book provides detailed descriptions of big data solutions for activity detection and forecasting of very large numbers of moving;
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mining for emerging applications, including adaptable malware detection, insider threat detection, firewall policy analysis, and real-time data;
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respective areas of interest, and provides the reader with a detailed overview of the field of Big Data Analytics as it is practiced today. The;
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in health sciences and biomedical data. The book is useful for those working with big data analytics in biomedical research, medical industries, and;
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respective areas of interest, and provides the reader with a detailed overview of the field of Big Data Analytics as it is practiced today. The;
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Plain English guidance for strategic business analytics and big data implementation In today's challenging economy, business analytics and;
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more complex tasks with predictive analytics on big data using machine learning * Learn real time analytic tasks * Understand the concepts;
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is suitable for undergraduate, postgraduate and big data analytics enthusiasts. This text should ease the fear of mathematics often associated with;
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