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Managing and Mining Graph Data: Unlocking the Power of Interconnected Information

Craig Blair

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Published in Managing And Mining Graph Data (Advances In Database Systems 40)

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In today's data-driven world, organizations are increasingly faced with complex and interconnected data that traditional database systems cannot effectively handle. Graph data, with its ability to represent relationships and connections between data points, has emerged as a powerful solution to this challenge.

Managing and Mining Graph Data: Advances in Database Systems 40 is a comprehensive guide that empowers you with the knowledge and skills to effectively manage and mine graph data. This essential resource provides a deep dive into the fundamental concepts, algorithms, and techniques involved in working with graph data, enabling you to unlock its full potential and gain actionable insights from your data.

Managing and Mining Graph Data (Advances in Database Systems Book 40)

by Charu C. Aggarwal

5 out of 5

Language	:	English
File size	:	26880 KB
Screen Reader	:	Supported
Print length	:	622 pages

Key Features

Comprehensive Coverage: Explores the entire graph data lifecycle, from data modeling and storage to query processing and mining.
Practical Guidance: Provides step-by-step instructions and hands-on examples to demonstrate key concepts and techniques.
Expert Insights: Authored by leading researchers and practitioners in the field of graph data management and mining.
Cutting-Edge Techniques: Introduces advanced algorithms and techniques for efficient graph data processing and analysis.
Real-World Applications: Showcases real-world use cases and applications of graph data in various domains, such as social network analysis, fraud detection, and knowledge discovery.

Target Audience

This book is designed for database professionals, data scientists, data analysts, and researchers who want to master the art of managing and mining graph data. Whether you are new to graph data or looking to enhance your existing skills, this guide will provide you with the necessary foundation and advanced knowledge to excel in this field.

Chapter Outline

to Graph Data
Graph Data Modeling and Storage
Graph Query Processing
Graph Mining Techniques
Applications of Graph Data
Advanced Topics in Graph Data Management and Mining
Case Studies and Applications
Future Directions and Trends

Benefits of Managing and Mining Graph Data

By mastering the techniques presented in this book, you will be able to:

Effectively manage and store graph data using specialized graph databases.
Develop efficient queries to retrieve and analyze graph data.
Apply advanced graph mining algorithms to uncover hidden patterns and relationships in your data.
Utilize graph data in real-world applications to gain actionable insights and make informed decisions.
Stay abreast of the latest advancements and future trends in graph data management and mining.

Free Download Your Copy Today

Don't miss out on this opportunity to gain a competitive edge in the field of data management and mining. Free Download your copy of Managing and Mining Graph Data: Advances in Database Systems 40 today and unlock the power of graph data!

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Managing and Mining Graph Data (Advances in Database Systems Book 40)

by Charu C. Aggarwal

5 out of 5