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EUROGP
2010
Springer
166views Optimization» more  EUROGP 2010»
15 years 9 months ago
Learning a Lot from Only a Little: Genetic Programming for Panel Segmentation on Sparse Sensory Evaluation Data
We describe a data mining framework that derives panelist information from sparse flavour survey data. One component of the framework executes genetic programming ensemble based s...
Katya Vladislavleva, Kalyan Veeramachaneni, Una-Ma...
CORR
2008
Springer
132views Education» more  CORR 2008»
15 years 4 months ago
Materialized View Selection by Query Clustering in XML Data Warehouses
XML data warehouses form an interesting basis for decision-support applications that exploit complex data. However, native XML database management systems currently bear limited p...
Hadj Mahboubi, Kamel Aouiche, Jérôme ...
148
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KAIS
2007
75views more  KAIS 2007»
15 years 4 months ago
Non-redundant data clustering
Data clustering is a popular approach for automatically finding classes, concepts, or groups of patterns. In practice this discovery process should avoid redundancies with existi...
David Gondek, Thomas Hofmann
KDD
2008
ACM
181views Data Mining» more  KDD 2008»
16 years 4 months ago
Learning subspace kernels for classification
Kernel methods have been applied successfully in many data mining tasks. Subspace kernel learning was recently proposed to discover an effective low-dimensional subspace of a kern...
Jianhui Chen, Shuiwang Ji, Betul Ceran, Qi Li, Min...
ICDM2
2004
Springer
196views Data Mining» more  ICDM2 2004»
15 years 10 months ago
An Early Warning System for Vehicle Related Quality Data
Vehicle production audit tests, warranty claims and car control unit data are stored in a central data warehouse for data mining analysis. Neural network based part failure rate es...
Matthias Grabert, Markus Prechtel, Tomas Hrycej, W...