Managing and Mining Graph Data - libro nuevo

EAN (ISBN-13): 9781441960450
ISBN (ISBN-10): 1441960457
Año de publicación: 2010
Editorial: Springer-Verlag
600 Páginas
Idioma: eng/Englisch

Libro en la base de datos desde 2011-09-17T13:38:57-05:00 (Mexico City)
Página de detalles modificada por última vez el 2024-02-03T15:02:51-06:00 (Mexico City)
ISBN/EAN: 9781441960450

ISBN - escritura alterna:
1-4419-6045-7, 978-1-4419-6045-0
Mode alterno de escritura y términos de búsqueda relacionados:
Autor del libro: charu aggarwal, lauren john
Título del libro: data mining, man and mining

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Datos del la editorial

Autor: Charu C. Aggarwal; Haixun Wang
Título: Advances in Database Systems; Managing and Mining Graph Data
Editorial: Springer; Springer US
600 Páginas
Año de publicación: 2010-02-02
New York; NY; US
Idioma: Inglés
213,99 € (DE)
220,00 € (AT)
236,00 CHF (CH)
Available
XXII, 600 p. 20 illus.

EA; E107; eBook; Nonbooks, PBS / Informatik, EDV/Informatik; Data Mining; Verstehen; Clustering; Graph; Information Retrieval; Managing; Mining; algorithm; biological datasets; chemical graph data; classification; currentjm; data mining; graph data; graph mining; query language; social networks; A; Data Mining and Knowledge Discovery; Database Management; Computer and Information Systems Applications; Computer Graphics; Information Storage and Retrieval; Computer Science; Wissensbasierte Systeme, Expertensysteme; Datenbanken; Angewandte Informatik; Grafikprogrammierung; Informationsrückgewinnung, Information Retrieval; Data Warehousing; BC

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.
Edited volume combines research in one, easily-accessible resource Each chapter serves as point of entry into a specific topic Includes supplementary material: sn.pub/extras