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Large Scale and Big Data

Large Scale and Big Data: Processing and Management provides readers with a central source of reference on the data management techniques;

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Large Scale and Big Data

Large Scale and Big Data: Processing and Management provides readers with a central source of reference on the data management techniques;

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Big Data Management and Processing

From the Foreword: Big Data Management and Processing is [a] state-of-the-art book that deals with a wide range of topical themes;

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Big Data Management and Processing

From the Foreword: Big Data Management and Processing is [a] state-of-the-art book that deals with a wide range of topical themes;

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Big Data

of resource-intensive computational settings Big Data Stream Techniques and Algorithms-explores research issues regarding the management and;

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Big Data

-intensive computational settings Big Data Stream Techniques and Algorithms-explores research issues regarding the management and mining of Big;

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Web-Age Information Management: WAIM 2013 International Workshops

International Workshop on Big Data Management on Emerging Hardware (HardBD 2013), the Second International Workshop on Massive Data Storage and;

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High Performance Big Data Computing

and benchmarking, and system deployment and management; and surveys benchmarks and workloads for evaluating big data middleware systems. It;

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Information Management and Big Data

This book constitutes the refereed proceedings of the 7th International Conference on Information Management and Big Data, SIMBig 2020;

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Information Management and Big Data

This book constitutes the refereed proceedings of the 5th International Conference on Information Management and Big Data, SIMBig 2018;

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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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Complete Guide to Open Source Big Data Stack

See a Mesos-based big data stack created and the components used. You will use currently available Apache full and incubating systems. The;

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Advances on Smart and Soft Computing

processing, natural language processing, predictive analytics, knowledge management approaches, information security, security in IoT, big data and;

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Next Generation Big Data

Understand enterprise big data topics such as big data governance, metadata management, data lineage, impact analysis, and policy enforcement, and;

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Information Management and Big Data

This book constitutes the refereed proceedings of the 6th International Conference on Information Management and Big Data, SIMBig 2019;

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Big Data Analytics for Time-Critical Mobility Forecasting

and challenges in the aviation (air-traffic management) and the maritime domains. Part II focuses on big data quality assessment and;

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Big Data Analytics for Time-Critical Mobility Forecasting

and challenges in the aviation (air-traffic management) and the maritime domains. Part II focuses on big data quality assessment and;

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Big Data

Big Data: Principles and Paradigms captures the state-of-the-art research on the architectural aspects, technologies, and applications;

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Big Data in Emergency Management

This contributed volume discusses essential topics and the fundamentals for Big Data Emergency Management and primarily focusses on the;

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Advanced Hybrid Information Processing

and focus on hybrid big data processing. Since information processing has acted as an important research domain in science and technology;

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Advanced Hybrid Information Processing

and focus on hybrid big data processing. Since information processing has acted as an important research domain in science and technology;

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Big Data

Data management from an R&D perspective. It covers the 3S designs-storage, sharing, and security-through detailed descriptions of Big Data;

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Big Data

Data management from an R&D perspective. It covers the 3S designs-storage, sharing, and security-through detailed descriptions of Big Data;

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Web and Big Data

and data quality; graph data processing; data mining, privacy and semantic analysis; text and log data management; social networks; data;

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Web and Big Data

and data quality; graph data processing; data mining, privacy and semantic analysis; text and log data management; social networks; data;

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Multimodal Analytics for Next-Generation Big Data Technologies and Applications

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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