Übersicht			Auf mobile öffnen

Lieferstatus:	Auf Bestellung (Lieferzeit unbekannt)
Veröffentlichung:	August 2025
Genre:	EDV / Informatik
	anomaly detection / Automated Pattern Recognition / Bildverarbeitung / Computer Imaging, Vision, Pattern Recognition and Graphics / computer science / Data Analysis and Big Data / Data Mining / Data Mining and Knowledge Discovery / Datenbanken / Deep Learning / Graph Clustering / graph mining / Graph Summarization / machine learning / Maschinelles Lernen / Mustererkennung / Sub Graphs / Wissensbasierte Systeme, Expertensysteme mehr...
ISBN:	9783031938016
EAN-Code:	9783031938016
Verlag:	Springer International Publishing
Einband:	Gebunden
Sprache:	English
Dimensionen:	H 240 mm / B 168 mm / D
Seiten:	130
Illustration:	XV, 130 p. 39 illus., 33 illus. in color., schwarz-weiss Illustrationen, farbige Illustrationen
Zus. Info:	EUDR exemption - product or manufacturing materials placed on the market prior to 31.12.2025.
Bewertung:	Titel bewerten / Meinung schreiben

Inhalt:

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.