Übersicht			Auf mobile öffnen

Lieferstatus:	Auf Bestellung (Lieferzeit unbekannt)
Veröffentlichung:	Februar 2010
Genre:	EDV / Informatik
	A / angewandte informatik / Application software / Computer and Information Systems Applications / Computer Applications / Computer Graphics / computer science / Data Mining / Data Mining and Knowledge Discovery / Data Warehousing / Database Management / database programming / Databases / Datenbanken / Expert systems / knowledge-based systems / Grafikprogrammierung / Graphics programming / Information Retrieval / Information Storage and Retrieval / Information Systems Applications (incl. Internet) / Information Systems Applications (incl.Internet) / Information technology# general issues / Informationsrückgewinnung, Information Retrieval / Internet searching / Wissensbasierte Systeme, Expertensysteme mehr...
ISBN:	9781441960443
EAN-Code:	9781441960443
Verlag:	Springer EN
Einband:	Gebunden
Sprache:	English
Serie:	#40 - Advances in Database Systems
Dimensionen:	H 235 mm / B 155 mm / D
Gewicht:	2340 gr
Seiten:	600
Illustration:	XXII, 600 p. 20 illus., schwarz-weiss Illustrationen
Zus. Info:	EUDR exemption - product or manufacturing materials placed on the market prior to 31.12.2025.
Bewertung:	Titel bewerten / Meinung schreiben

Inhalt:

Managing and Mining Graph Data is a comprehensive survey book in graph management and mining. It contains extensive surveys on a variety of important graph topics such as graph languages, indexing, clustering, data generation, pattern mining, classification, keyword search, pattern matching, and privacy. It also studies a number of domain-specific scenarios such as stream mining, web graphs, social networks, chemical and biological data. The chapters are written by well known researchers in the field, and provide a broad perspective of the area. This is the first comprehensive survey book in the emerging topic of graph data processing. Managing and Mining Graph Data is designed for a varied audience composed of professors, researchers and practitioners in industry. This volume is also suitable as a reference book for advanced-level database students in computer science and engineering.