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» Numbers in Multi-relational Data Mining
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SDM
2009
SIAM
149views Data Mining» more  SDM 2009»
15 years 9 months ago
Near-optimal Supervised Feature Selection among Frequent Subgraphs.
Graph classification is an increasingly important step in numerous application domains, such as function prediction of molecules and proteins, computerised scene analysis, and an...
Alexander J. Smola, Arthur Gretton, Hans-Peter Kri...
KDD
2006
ACM
179views Data Mining» more  KDD 2006»
16 years 8 days ago
Extracting key-substring-group features for text classification
In many text classification applications, it is appealing to take every document as a string of characters rather than a bag of words. Previous research studies in this area mostl...
Dell Zhang, Wee Sun Lee
KDD
2009
ACM
188views Data Mining» more  KDD 2009»
15 years 6 months ago
BGP-lens: patterns and anomalies in internet routing updates
The Border Gateway Protocol (BGP) is one of the fundamental computer communication protocols. Monitoring and mining BGP update messages can directly reveal the health and stabilit...
B. Aditya Prakash, Nicholas Valler, David Andersen...
SDM
2010
SIAM
283views Data Mining» more  SDM 2010»
15 years 1 months ago
Cascading Spatio-temporal Pattern Discovery: A Summary of Results
Given a collection of Boolean spatio-temporal(ST) event types, the cascading spatio-temporal pattern (CSTP) discovery process finds partially ordered subsets of event-types whose ...
Pradeep Mohan, Shashi Shekhar, James A. Shine, Jam...
GRC
2010
IEEE
15 years 29 days ago
Learning Multiple Latent Variables with Self-Organizing Maps
Inference of latent variables from complicated data is one important problem in data mining. The high dimensionality and high complexity of real world data often make accurate infe...
Lili Zhang, Erzsébet Merényi