Managing and Mining Graph Data

Charu C. Aggarwal, Haixun Wang (Herausgeber)

Buch | Softcover

600 Seiten

2012
Springer-Verlag New York Inc.
978-1-4614-2560-1 (ISBN)

Artikel merken

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.

An Introduction to Graph Data.- Graph Data Management and Mining: A Survey of Algorithms and Applications.- Graph Mining: Laws and Generators.- Query Language and Access Methods for Graph Databases.- Graph Indexing.- Graph Reachability Queries: A Survey.- Exact and Inexact Graph Matching: Methodology and Applications.- A Survey of Algorithms for Keyword Search on Graph Data.- A Survey of Clustering Algorithms for Graph Data.- A Survey of Algorithms for Dense Subgraph Discovery.- Graph Classification.- Mining Graph Patterns.- A Survey on Streaming Algorithms for Massive Graphs.- A Survey of Privacy-Preservation of Graphs and Social Networks.- A Survey of Graph Mining for Web Applications.- Graph Mining Applications to Social Network Analysis.- Software-Bug Localization with Graph Mining.- A Survey of Graph Mining Techniques for Biological Datasets.- Trends in Chemical Graph Data Mining.

Reihe/Serie	Advances in Database Systems ; 40
Zusatzinfo	20 Illustrations, black and white; XXII, 600 p. 20 illus.
Verlagsort	New York, NY
Sprache	englisch
Maße	155 x 235 mm
Themenwelt	Informatik ► Datenbanken ► Data Warehouse / Data Mining
Themenwelt	Mathematik / Informatik ► Informatik ► Software Entwicklung
Schlagworte	algorithm • biological datasets • chemical graph data • clustering algorithms • Graph • graph data • graph databases • Graph Data Model (GDM) • graph mining • graph reachability • Managing • Mining • privacy-preservation • query language • Social Networks
ISBN-10	1-4614-2560-3 / 1461425603
ISBN-13	978-1-4614-2560-1 / 9781461425601
Zustand	Neuware