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» Scalable mining of large disk-based graph databases
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CLUSTER
2006
IEEE
14 years 1 months ago
MSSG: A Framework for Massive-Scale Semantic Graphs
This paper presents a middleware framework for storing, accessing and analyzing massive-scale semantic graphs. The framework, MSSG, targets scale-free semantic graphs with O(1012 ...
Timothy D. R. Hartley, Ümit V. Çataly&...
WAIM
2004
Springer
14 years 26 days ago
Mining Inheritance Rules from Genealogical Data
Data mining extracts implicit, previously unknown and potentially useful information from databases. Many approaches have been proposed to extract information, and one of the most ...
Yen-Liang Chen, Jing-Tin Lu
ICDE
2010
IEEE
240views Database» more  ICDE 2010»
13 years 12 months ago
Top-K aggregation queries over large networks
Searching and mining large graphs today is critical to a variety of application domains, ranging from personalized recommendation in social networks, to searches for functional ass...
Xifeng Yan, Bin He, Feida Zhu, Jiawei Han
SDM
2010
SIAM
182views Data Mining» more  SDM 2010»
13 years 9 months ago
HCDF: A Hybrid Community Discovery Framework
We introduce a novel Bayesian framework for hybrid community discovery in graphs. Our framework, HCDF (short for Hybrid Community Discovery Framework), can effectively incorporate...
Keith Henderson, Tina Eliassi-Rad, Spiros Papadimi...
FUIN
2000
109views more  FUIN 2000»
13 years 7 months ago
Building Knowledge Scouts Using KGL Metalanguage
Knowledge scouts are software agents that autonomously search for and synthesize user-oriented knowledge (target knowledge) in large local or distributed databases. A knowledge ge...
Ryszard S. Michalski, Kenneth A. Kaufman