Managing and Mining Graph Data - novo libro

EAN (ISBN-13): 9781441960450
ISBN (ISBN-10): 1441960457
Ano de publicação: 2010
Editor/Editora: Springer-Verlag
600 Páginas
Língua: eng/Englisch

Livro na base de dados desde 2011-09-17T19:38:57+01:00 (Lisbon)
Página de detalhes modificada pela última vez em 2024-02-03T21:02:51+00:00 (Lisbon)
Número ISBN/EAN: 9781441960450

Número ISBN - Ortografia alternativa:
1-4419-6045-7, 978-1-4419-6045-0
Ortografia alternativa e termos de pesquisa relacionados:
Autor do livro: charu aggarwal, lauren john
Título do livro: data mining, man and mining

---

Dados da editora

Autor: Charu C. Aggarwal; Haixun Wang
Título: Advances in Database Systems; Managing and Mining Graph Data
Editora: Springer; Springer US
600 Páginas
Ano de publicação: 2010-02-02
New York; NY; US
Língua: Inglês
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