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Graph Mining
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Graph Mining : Practical Uses and Instruments for Exploring Complex Networks

Book Details

Format Hardback or Cased Book
ISBN-10 3031938011
ISBN-13 9783031938016
Publisher Springer International Publishing AG
Imprint Springer International Publishing AG
Country of Manufacture GB
Country of Publication GB
Publication Date Aug 1st, 2025
Print length 130 Pages
Weight 390 grams
Dimensions 17.40 x 25.00 x 1.30 cms
Ksh 6,300.00
Publisher Out of Stock 0 in stock

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This book provides a thorough introduction to graph mining and addresses foundational concepts and advanced techniques along with practical applications across various fields.
This book provides a thorough introduction to graph mining and addresses foundational concepts and advanced techniques along with practical applications across various fields.  As graphs have become increasingly vital for data representation in domains such as social network analysis, bioinformatics, and transportation, there is a growing demand for a comprehensive source that covers both theory and practical insights. This book seeks to fill that gap by offering clear explanations, practical examples, and actionable insights, making complex graph mining techniques accessible to students, postgraduate readers, and researchers.  The authors also provide an extensive investigation into the process of gaining insightful knowledge from graph representations, ranging from interpreting intricate relationships to decoding complex data structures.  Readers will learn to identify anomalous patterns, locate communities, arrange nodes, predict connections, and evaluate graphs effectively.  

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