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» Supervised Graph Inference
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WWW
2008
ACM
14 years 8 months ago
Measuring extremal dependencies in web graphs
We analyze dependencies in power law graph data (Web sample, Wikipedia sample and a preferential attachment graph) using statistical inference for multivariate regular variation. ...
Yana Volkovich, Nelly Litvak, Bert Zwart
KDD
2009
ACM
172views Data Mining» more  KDD 2009»
14 years 8 days ago
Learning dynamic temporal graphs for oil-production equipment monitoring system
Learning temporal graph structures from time series data reveals important dependency relationships between current observations and histories. Most previous work focuses on learn...
Yan Liu, Jayant R. Kalagnanam, Oivind Johnsen
SDM
2008
SIAM
256views Data Mining» more  SDM 2008»
13 years 9 months ago
Graph Mining with Variational Dirichlet Process Mixture Models
Graph data such as chemical compounds and XML documents are getting more common in many application domains. A main difficulty of graph data processing lies in the intrinsic high ...
Koji Tsuda, Kenichi Kurihara
FLAIRS
2003
13 years 9 months ago
MDL-Based Context-Free Graph Grammar Induction
We present an algorithm for the inference of context-free graph grammars from examples. The algorithm builds on an earlier system for frequent substructure discovery, and is biase...
Istvan Jonyer, Lawrence B. Holder, Diane J. Cook
FLAIRS
2007
13 years 10 months ago
Deriving Chronological Information from Texts through a Graph-Based Algorithm
We propose a method of deriving chronological order of events in natural language texts by constraining temporal boundaries associated to events and projecting them on a timeline....
Cosmin Adrian Bejan