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Knowledge Graphs and Big Data Processing

of the definitions, methods, tools, frameworks, and solutions for big data processing, starting from the process of information extraction and;

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Web Information Systems and Applications

submissions. The papers are grouped in topical sections on machine learning and data mining, cloud computing and big data, information retrieval;

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Web Information Systems and Applications

103 submissions. The papers cover topics such as machine learning and data mining; cloud computing and big data; information retrieval;

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Web and Big Data

and Application, Query Processing, Big Data and Blockchain.;

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Web and Big Data

and Application, Query Processing, Big Data and Blockchain.;

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Database Systems for Advanced Applications

processing; spatial databases; real time data processing; big data; social networks and graphs.;

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Database Systems for Advanced Applications

; spatial databases; real time data processing; big data; social networks and graphs.;

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Apache Spark Graph Processing

scientists and big data developers who want to learn the processing and analyzing graph datasets at scale. Basic programming experience with Scala;

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Big Data Analytics and Knowledge Discovery

The volume LNCS 12393 constitutes the papers of the 22nd International Conference Big Data Analytics and Knowledge Discovery which will be;

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Big Data Analytics and Knowledge Discovery

This book constitutes the refereed proceedings of the 21st International Conference on Big Data Analytics and Knowledge Discovery, DaWaK;

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Big Data Analytics for Time-Critical Mobility Forecasting

This book provides detailed descriptions of big data solutions for activity detection and forecasting of very large numbers of moving;

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Big Data Analytics for Time-Critical Mobility Forecasting

This book provides detailed descriptions of big data solutions for activity detection and forecasting of very large numbers of moving;

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Big Data

. Grounded in epistemology and science and technology studies, Big Data offers a reflection on data in general, and on how they help us to better;

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Big Data Analytics and Knowledge Discovery

warehouses; stream processing; applications of big data analysis; and big data.;

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High Performance Big Data Computing

An in-depth overview of an emerging field that brings together high-performance computing, big data processing, and deep lLearning.

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Knowledge Graphs

artificial intelligence. The field of knowledge graphs, which allows us to model, process, and derive insights from complex real-world data, has;

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Signal Processing and Machine Learning for Biomedical Big Data

Within the healthcare domain, big data is defined as any ``high volume, high diversity biological, clinical, environmental, and lifestyle;

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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 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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Database Systems for Advanced Applications

embedding; recommendation; graph and network processing; social network analytics; sequence and temporal data processing; trajectory and streaming;

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Database Systems for Advanced Applications

embedding; recommendation; graph and network processing; social network analytics; sequence and temporal data processing; trajectory and streaming;

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Graph-Based Social Media Analysis

, namely the confluence of graph analysis and network theory with linear algebra, digital media, machine learning, big data analysis, and signal;

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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

fields, Big Data: Algorithms, Analytics, and Applications bridges the gap between the vastness of Big Data and the appropriate computational;

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Big Data

fields, Big Data: Algorithms, Analytics, and Applications bridges the gap between the vastness of Big Data and the appropriate computational;

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