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addresses the security and privacy of big data in social media, and the last focuses on the literary text as the literary data in Big Data Analytics;
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The definitive guide to successfully integrating social, mobile, Big-Data analytics, cloud and IoT principles and technologies The main;
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sections named: big data analytics: vision and perspectives; financial data analytics and data streams; web and social media data; big data systems;
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Social media data contains our communication and online sharing, mirroring our daily life. This book looks at how we can use and what we;
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Harness the power of social media to predict customer behavior and improve sales Social media is the biggest source of Big Data. Because;
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research utilizing social media and geospatial big data. It describes various forms of social media and big data with location information, theory;
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organized in topical sections on information and customer analytics; visual data science; machine and deep learning; big data analytics;
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Often termed as the new gold, the vast amount of social media data can be employed to identify which customer behavior and actions create;
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way we as individuals interact with data and systems-and the way we run our businesses. Cognitive Analysis and AI prepares business users for;
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Leverage the power of Python to collect, process, and mine deep insights from social media data About This Book * Acquire data from;
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, social graph, location, and rich media data. A four-step approach to the social BI process will help you access, evaluate, collaborate, and share;
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This book constitutes the refereed proceedings of the 19th International Conference on Big Data Analytics and Knowledge Discovery, DaWaK;
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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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technologies in various domains are still evolving. For instance, the explosive growth in big data and social media analytics requires examination;
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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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. Actually, for him, it's SMACT-dab: SMACT (Social media, Mobile, Analytics and big data, Cloud computing, and internet of Things) technologies. This;
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. Actually, for him, it's SMACT-dab: SMACT (Social media, Mobile, Analytics and big data, Cloud computing, and internet of Things) technologies. This;
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Feature engineering plays a vital role in big data analytics. Machine learning and data mining algorithms cannot work without data. Little;
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data types such as texts, images, sequences, time series, graphs, streaming data, software engineering data, Twitter data, and social media;
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of mining the social data. Cognitive Social Mining Applications in Data Analytics and Forensics is an essential reference source that reviews;
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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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from enhancing access to the big data to facilitating its wide applications in healthcare, social media, library and information centers;
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as focuses on techniques and tools used for social media analytics. Data visualization has a critical role in the advancement of modern;
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marketing and how to access all of it Make use of data and information behind social media networks to your favor Know the details of social;
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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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