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Graph Databases

Discover how graph databases can help you manage and query highly connected data. With this practical book, you'll learn how to design and;

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Graph Databases in Action

Graph Databases in Action teaches readers everything they need to know to begin building and running applications powered by graph;

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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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Database and Expert Systems Applications

were carefully reviewed and selected from 166 submissions. The papers discuss a range of topics including: Semantic Web and Semantics; Graph;

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Database and Expert Systems Applications

were carefully reviewed and selected from 166 submissions. The papers discuss a range of topics including: Semantic Web and Semantics; Graph;

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An Introduction to Exponential Random Graph Modeling

Explaining the techniques and applications of exponential random graph modeling (ERGM) for social scientists, this is a uniquely;

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Handbook of Graph Grammars and Computing by Graph Transformation

Graph grammars originated in the late 60s, motivated by considerations about pattern recognition and compiler construction. Since then the;

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Graph Data Modeling for NoSQL & SQL

Master a graph data modeling technique superior to traditional data modeling for both relational and NoSQL databases (graph, document, key;

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Handbook Of Graph Grammars And Computing By Graph Transformation - Volume 2

Graph grammars originated in the late 60s, motivated by considerations about pattern recognition and compiler construction. Since then, the;

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Database Modeling Step by Step

With the aim of simplifying relational database modeling, Database Modeling Step-by-Step presents th;...

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Data Modeling and Database Design

Data Modeling and Database Design presents a conceptually complete coverage of indispensable topics ;...

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Database Modeling with Microsoft® Visio for Enterprise Architects

This book is for database designers and database administrators using Visio, which is the database c;...

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Neo4j Graph Data Modeling

0;...

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Learning Neo4j

This book is for developers who want an alternative way to store and process data within their applications. No previous graph database;

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Learning Cypher

in action, followed by a detailed explanation. This book is intended for those who want to learn how to create, query, and maintain a graph;

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Object-Oriented Modeling and Design for Database Applications

Appropriate for courses in OO Design, OO Database Systems, Database Management and Design, and Softw;...

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System Dynamics and Control with Bond Graph Modeling

Written by a professor with extensive teaching experience, System Dynamics and Control with Bond Graph Modeling treats system dynamics from;

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Database Management Systems

combined textual and graphical database system, and search algorithms for conceptual graph databases.;

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Database Modeling and Design

Database Modeling and Design, Fourth Edition, the extensively revised edition of the classic log;...

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Advances in Databases and Information Systems

; subsequence matching and streaming data; OLAP; graph databases; spatial data management; parallel and distributed data processing; query optimization;

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Database Modeling and Design

This new edition of Database Modeling & Design continues to focus on the techniques for relation;...

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Building Web Applications with Python and Neo4j

in production A step-by-step guide on implementing and deploying interactive Python-based web applications on graph data model Who This Book;

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Mastering Data Modeling

This book introduces Logical Data Structures (LDS), a powerful new approach to database design that ;...

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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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Computer Analysis of Images and Patterns

submissions. The scope of the conference spans the following areas: 3D TV, biometrics, color and texture, document analysis, graph-based methods;

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