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as the units of search. The key-object data model and KeySQL revamp the data independence principle making it applicable for Big Data and;
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Conference on semantic Keyword-based Search on Structured Data Sources, IKC 2015, held in Coimbra, Portugal, in September 2015. The 13 revised;
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in order to find solutions for the challenges and problems facing big data sets applications. Much data today is not natively in structured format;
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sections. Big Data Analytics for Large-Scale Multimedia Search covers: representation learning, concept and event-based video search in large;
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of Big Data; Big Data Search and Mining; Big Data for Enterprise, Government and Society.;
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Tools Algorithms for Big Data Big Data Management and Frameworks Big Data Search and Mining Methods Security and Privacy in the Era of Big;
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Conference on Semantic Keyword-Based Search on Structured Data Sources, IKC 2016, held in Cluj-Napoca, Romania, in September 2016. The 15 revised;
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that are characterized by the type of data they manage and the search capabilities they support. The first type are structured peer-to-peer;
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in modeling your own big data projects and improve the performance of analytical queries for your specific business requirements. To start with;
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. The commonly used term for this data is Big Data, which includes structured, unstructured and hybrid structured data. However, Big Data;
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. The commonly used term for this data is Big Data, which includes structured, unstructured and hybrid structured data. However, Big Data;
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... --Joshua M. Davis, PhD The Definitive Plain-English Guide to Big Data for Business and Technology Professionals Big Data Fundamentals;
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Develop applications for the big data landscape with Spark and Hadoop. This book also explains the role of Spark in developing scalable;
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that are characterized by the type of data they manage and the search capabilities they support. The first type are structured peer-to-peer;
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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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moves on to discuss every stage of the lifecycle of Big Data. You'll learn about the creation of structured, unstructured, and semi;
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Machine Learning, Big Data, and IoT for Medical Informatics focuses on the latest techniques adopted in the field of medical informatics;
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can do'. It can batch process millions and billions of records both unstructured and structured much faster and cheaper. Big data analytics;
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Big data is a broad term that defines the structured or unstructured data sets. It is a challenging field which includes analysis, transfer;
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This book provides readers the big picture and a comprehensive survey of the domain of big data processing systems. For the past decade;
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This book provides readers the big picture and a comprehensive survey of the domain of big data processing systems. For the past decade;
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on Semantic Keyword-Based Search on Structured Data Sources, IKC 2017, held in Gdansk, Poland, in September 2017. The 13 revised full;
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Internet Computing and Big Data is a compendium of articles and papers that were presented at ICOMP '13, an international conference that;
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