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Graph Databases: Applications on Social Media Analytics and Smart Cities
Christos Tjortjis, (ed.)How much do you like this book?
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Graph databases have gained increasing popularity recently, disrupting areas traditionally dominated by conventional relational, SQL-based databases, as well as domains requiring the extra capabilities afforded by graphs. This book is a timely effort to capture the state of the art of Graph databases and their applications in domains, such as Social Media analysis and Smart Cities.
This practical book aims at combining various advanced tools, technologies, and techniques to aid understanding and better utilizing the power of Social Media Analytics, Data Mining, and Graph Databases. The book strives to support students, researchers, developers, and simple users involved with Data Science and Graph Databases to master the notions, concepts, techniques, and tools necessary to extract data from social media or smart cities that facilitate information acquisition, management, and prediction.
The contents of the book guide the interested reader into a tour starting with a detailed comparison of relational SQL Databases with NoSQL and Graph Databases, reviewing their popularity, with a focus on Neo4j.
This practical book aims at combining various advanced tools, technologies, and techniques to aid understanding and better utilizing the power of Social Media Analytics, Data Mining, and Graph Databases. The book strives to support students, researchers, developers, and simple users involved with Data Science and Graph Databases to master the notions, concepts, techniques, and tools necessary to extract data from social media or smart cities that facilitate information acquisition, management, and prediction.
The contents of the book guide the interested reader into a tour starting with a detailed comparison of relational SQL Databases with NoSQL and Graph Databases, reviewing their popularity, with a focus on Neo4j.
Categories:
Year:
2024
Publisher:
CRC Press
Language:
english
Pages:
191
ISBN 10:
1032024798
ISBN 13:
9781032024790
File:
PDF, 12.00 MB
Your tags:
IPFS:
CID , CID Blake2b
english, 2024
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