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Biomedical Data Management and Graph Online Querying

This book constitutes the refereed proceedings of the two International Workshops on Big-Graphs Online Querying, Big-O(Q) 2015, and Data;

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Querying Graphs

Graph data modeling and querying arises in many practical application domains such as social and biological networks where the primary;

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Human Interaction with Graphs

-programmers to query such graph data repositories. In this book, we present recent developments in the emerging area of visual graph querying paradigm;

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Data Analytics

and data mining; graph data querying and analysis; multidimensional data and data quality; and distributed and multimedia data management.;

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Graph Databases in Action

data domains such as bioinformatics, oil and gas, and supply chain management. He's an active member of the graph community and has presented;

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Data Management and Analytics for Medicine and Healthcare

; managing, querying and processing of medical image data; information extraction and data integration for biomedical data; and health information;

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Managing Event Information

, and applications of such an event management system in a holistic manner. It uses a semantic-web style graph-based view of events, and shows;

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Handbook of Big Data Technologies

engines and big stream processing systems. Part Two focuses on the semantic aspects of Big Data management including data integration and;

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Handbook of Big Data Technologies

engines and big stream processing systems. Part Two focuses on the semantic aspects of Big Data management including data integration and;

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Graph Data Management: Fundamental Issues and Recent Developments

This book presents a comprehensive overview of fundamental issues and recent advances in graph data management. Its aim is to provide;

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Analysis of Complex Networks

Mathematical problems such as graph theory problems are of increasing importance for the analysis of modelling data in biomedical research;

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User-Centered Data Management

database tasks, and relevant approaches to visual querying, information visualization, and visual data mining. Novel interaction paradigms, e.g;

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Database and Expert Systems Applications: 29th International Conference, Dexa 2018, Regensburg, Germany, September 3-6, 2018, Proceedings, Part I

system architecture and performance; novel database solutions; graph querying and databases; learning; emerging applications; data mining;

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Advanced Data Management

Advanced data management has always been at the core of efficient database and information systems. Recent trends like big data and cloud;

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Software Foundations for Data Interoperability and Large Scale Graph Data Analytics

, and 2nd International Workshop on Large Scale Graph Data Analytics, LSGDA 2020, held in Conjunction with VLDB 2020, in September 2020. Due to;

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User-Centered Data Management

database tasks, and relevant approaches to visual querying, information visualization, and visual data mining. Novel interaction paradigms, e.g;

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Linked Data

its growing volume: storing, querying, reasoning, provenance management and benchmarking. To this end, Chapter 1 introduces the main concepts;

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Web and Big Data APWeb WAIM 2020 International Workshops

International Joint Conference on Web and Big Data, APWeb-WAIM 2020: The Third International Workshop on Knowledge Graph Management and Applications;

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Data Management and Analytics for Medicine and Healthcare

; biomedical data management and Integration; online mining of Health related data; and clinical data analytics.;

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Learning GraphQL

get started with GraphQL. You'll explore graph theory, the graph data structure, and GraphQL types before learning hands-on how to build a;

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Managing Event Information

, and applications of such an event management system in a holistic manner. It uses a semantic-web style graph-based view of events, and shows;

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Managing and Mining Graph Data

Managing and Mining Graph Data is a comprehensive survey book in graph management and mining. It contains extensive surveys on a variety;

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Managing and Mining Graph Data

Managing and Mining Graph Data is a comprehensive survey book in graph management and mining. It contains extensive surveys on a variety;

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An Efficient Algorithm for Shortest Path Tree in Dynamic Graph

Graph theory is branch of science, which has a wide application in fields of Engineering, Science and management. Graph theory enables us;

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Context-Aware Computing

data management application are discussed, making the book is an essential reference for computer scientists, information scientists and;

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Querying XML

XML has become the lingua franca for representing business data, for exchanging information between business partners and applications, and;

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WALCOM: Algorithms and Computation

papers cover a wide range of topics such as approximation algorithms, computational complexity, computational geometry, data structures, graph;

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