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Image of Individual and Collective Graph Mining

Electronic Resource

Individual and Collective Graph Mining

Koutra, Danai - Personal Name; Faloutsos, Christos - Personal Name;

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Penilaian anda saat ini :  

Graphs naturally represent information ranging from links between web pages, to communication in email networks, to connections between neurons in our brains. These graphs often span billions of nodes and interactions between them. Within this deluge of interconnected data, how can we find the most important structures and summarize them? How can we efficiently visualize them? How can we detect anomalies that indicate critical events, such as an attack on a computer system, disease formation in the human brain, or the fall of a company?


Availability
Inventory Code Barcode Call Number Location Status
2008000322EB0006223005.74 Kou iCentral Library (OPAC)Available
Detail Information
Series Title
Synthesis Lectures on Data Mining and Knowledge Discovery
Call Number
005.74 Kou i
Publisher
Switzerland : Springer Cham., 2022
Collation
xi, 197p.:ill
Language
English
ISBN/ISSN
978-3-031-01911-1
Classification
005.74
Content Type
Ebook
Media Type
-
Carrier Type
online resource
Edition
1
Subject(s)
Database mining
Specific Detail Info
-
Statement of Responsibility
BRF
Other version/related
TitleEditionLanguage
Individual and Collective Graph Mining1en
File Attachment
  • Individual and Collective Graph Mining
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