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» Exploiting Visualization in Knowledge Discovery
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LION
2010
Springer
209views Optimization» more  LION 2010»
15 years 10 months ago
Feature Extraction from Optimization Data via DataModeler's Ensemble Symbolic Regression
We demonstrate a means of knowledge discovery through feature extraction that exploits the search history of an optimization run. We regress a symbolic model ensemble from optimiza...
Kalyan Veeramachaneni, Katya Vladislavleva, Una-Ma...
EDBT
2000
ACM
15 years 9 months ago
Mining Classification Rules from Datasets with Large Number of Many-Valued Attributes
Decision tree induction algorithms scale well to large datasets for their univariate and divide-and-conquer approach. However, they may fail in discovering effective knowledge when...
Giovanni Giuffrida, Wesley W. Chu, Dominique M. Ha...
AUSDM
2008
Springer
235views Data Mining» more  AUSDM 2008»
15 years 8 months ago
ShrFP-Tree: An Efficient Tree Structure for Mining Share-Frequent Patterns
Share-frequent pattern mining discovers more useful and realistic knowledge from database compared to the traditional frequent pattern mining by considering the non-binary frequen...
Chowdhury Farhan Ahmed, Syed Khairuzzaman Tanbeer,...
IDA
2006
Springer
15 years 5 months ago
Supporting bi-cluster interpretation in 0/1 data by means of local patterns
Clustering or co-clustering techniques have been proved useful in many application domains. A weakness of these techniques remains the poor support for grouping characterization. ...
Ruggero G. Pensa, Céline Robardet, Jean-Fra...
IJHCI
2002
90views more  IJHCI 2002»
15 years 5 months ago
Awareness of Organizational Expertise
This article describes automated tools for increasing organizational awareness within a global enterprise. The MITRE Corporation is the context for the current work, however the t...
Mark T. Maybury, Raymond J. D'Amore, David House