Graph Mining : Practical Uses and Instruments for Exploring Complex Networks
Book Details
Format
Hardback or Cased Book
Book Series
Synthesis Lectures on Computer Science
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
Delivery Location
Delivery fee: Select location
Secure
Quality
Fast
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.
Get Graph Mining by at the best price and quality guaranteed only at Werezi Africa's largest book ecommerce store. The book was published by Springer International Publishing AG and it has pages.