DocumentCode :
2207025
Title :
Mining Billion-node Graphs: Patterns, Generators and Tools
Author :
Faloutsos, Christos
fYear :
2010
fDate :
13-17 Dec. 2010
Firstpage :
5
Lastpage :
5
Abstract :
What do graphs look like? How do they evolve over time? How to handle a graph with a billion nodes? We present a comprehensive list of static and temporal laws, and some recent observations on real graphs (e.g., "eigenSpokes"). For generators, we describe some recent ones, which naturally match all of the known properties of real graphs. Finally, for tools, we present "oddball" for discovering anomalies and patterns, as well as an overview of the PEGASUS system which is designed for handling Billion-node graphs, running on top of the "hadoop" system.
Keywords :
data mining; graph theory; PEGASUS system; billion-node graphs; data mining; hadoop system; oddball; Data mining; Generators; Graphics; Streaming media;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Data Mining (ICDM), 2010 IEEE 10th International Conference on
Conference_Location :
Sydney, NSW
ISSN :
1550-4786
Print_ISBN :
978-1-4244-9131-5
Type :
conf
DOI :
10.1109/ICDM.2010.170
Filename :
5693951
Link To Document :
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