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» Classes and clusters in data analysis
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EDBTW
2010
Springer
14 years 4 months ago
Updating probabilistic XML
We investigate the complexity of performing updates on probabilistic XML data for various classes of probabilistic XML documents of different succinctness. We consider two elemen...
Evgeny Kharlamov, Werner Nutt, Pierre Senellart
MCS
2009
Springer
14 years 2 months ago
Incremental Learning of Variable Rate Concept Drift
We have recently introduced an incremental learning algorithm, Learn++ .NSE, for Non-Stationary Environments, where the data distribution changes over time due to concept drift. Le...
Ryan Elwell, Robi Polikar
SEMWEB
2010
Springer
13 years 7 months ago
Optimize First, Buy Later: Analyzing Metrics to Ramp-Up Very Large Knowledge Bases
As knowledge bases move into the landscape of larger ontologies and have terabytes of related data, we must work on optimizing the performance of our tools. We are easily tempted t...
Paea LePendu, Natalya Fridman Noy, Clement Jonquet...
KDD
2005
ACM
104views Data Mining» more  KDD 2005»
14 years 10 months ago
Mining tree queries in a graph
We present an algorithm for mining tree-shaped patterns in a large graph. Novel about our class of patterns is that they can contain constants, and can contain existential nodes w...
Bart Goethals, Eveline Hoekx, Jan Van den Bussche
DOCENG
2006
ACM
14 years 4 months ago
Evaluating invariances in document layout functions
With the development of variable-data-driven digital presses where each document printed is potentially unique there is a need for pre-press optimization to identify material that...
Alexander J. Macdonald, David F. Brailsford, John ...