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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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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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NoSQL Data Models

needed. This book presents recent research works, covering the following basic aspects: semantic data management, graph databases, and big data;

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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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Synchronization Control for Large Scale Network Systems

-date advances and some recent developments in the analysis and synthesis issues for LSNSs with sampled-data communication and non-identical;

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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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Recent Developments and the New Direction in Soft-Computing Foundations and Applications

applications in data mining, social networks, control and robotics, geoscience, biomedicine and industrial management are described. This book offers a;

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Visualizing Graph Data

visualizations. It begins by teaching fundamental graph concepts and techniques used to visualize graph data. Next, readers drill down to learn;

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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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Handbook of Big Data Technologies

This handbook offers comprehensive coverage of recent advancements in Big Data technologies and related paradigms. Chapters are authored;

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Handbook of Big Data Technologies

This handbook offers comprehensive coverage of recent advancements in Big Data technologies and related paradigms. Chapters are authored;

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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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Graph Representation Learning

, which has become a dominant and fast-growing paradigm for deep learning with graph data. The book concludes with a synthesis of recent;

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Complex Networks

of complex computer networks and graph signal processing systems. The authors cover both the fundamental concepts underlying graph theory and complex;

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Heterogeneous Graph Representation Learning and Applications

not only because of the need to incorporate heterogeneous structural (graph) information consisting of multiple types of node and edge, but;

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Perfect Graphs

of perfect graph theory Discusses the most recent developments in the field of perfect graph theory Provides a thorough historical overview of the;

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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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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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Human Resource Management in Ireland

Updated edition of this highly successful textbook, which draws on current Irish research and data while also incorporating international;

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Optimization Problems in Graph Theory

, data analysis, industrial and systems engineering will benefit from the state-of-the-art results presented in modern graph theory and its;

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Recent Advancements in Graph Theory

Focuses on the latest research in Graph Theory Provides recent research findings that are occurring in this field Discusses the advanced;

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A First Course in Graph Theory and Combinatorics

of graph is fundamental in mathematics and engineering, as it conveniently encodes diverse relations and facilitates combinatorial analysis of many;

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Beyond Planar Graphs

data sets are relational and can be modelled as graphs consisting of vertices and edges. Planar graphs are fundamental for both graph theory;

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Large-scale 3D Data Integration

Large-Scale 3D Data Integration: Challenges and Opportunities examines the fundamental aspects of 3D geo-information, focusing on the;

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Large-scale 3D Data Integration

Large-Scale 3D Data Integration: Challenges and Opportunities examines the fundamental aspects of 3D geo-information, focusing on the;

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