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» Mining Knowledge in Astrophysical Massive Data Sets
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MLDM
2009
Springer
15 years 10 months ago
Assisting Data Mining through Automated Planning
The induction of knowledge from a data set relies in the execution of multiple data mining actions: to apply filters to clean and select the data, to train different algorithms (...
Fernando Fernández, Daniel Borrajo, Susana ...
GECCO
2010
Springer
189views Optimization» more  GECCO 2010»
15 years 11 months ago
Knowledge mining with genetic programming methods for variable selection in flavor design
This paper presents a novel approach for knowledge mining from a sparse and repeated measures dataset. Genetic programming based symbolic regression is employed to generate multip...
Katya Vladislavleva, Kalyan Veeramachaneni, Matt B...
KDD
2003
ACM
194views Data Mining» more  KDD 2003»
16 years 6 months ago
Finding recent frequent itemsets adaptively over online data streams
A data stream is a massive unbounded sequence of data elements continuously generated at a rapid rate. Consequently, the knowledge embedded in a data stream is more likely to be c...
Joong Hyuk Chang, Won Suk Lee
PKDD
2001
Springer
108views Data Mining» more  PKDD 2001»
15 years 10 months ago
Knowledge Discovery in Multi-label Phenotype Data
The biological sciences are undergoing an explosion in the amount of available data. New data analysis methods are needed to deal with the data. We present work using KDD to analys...
Amanda Clare, Ross D. King
ADMI
2009
Springer
16 years 20 days ago
Towards Cooperative Predictive Data Mining in Competitive Environments
Abstract. We study the problem of predictive data mining in the competitive multi-agent setting, in which each agent is assumed to have some partial knowledge needed for correctly ...
Viliam Lisý, Michal Jakob, Petr Benda, Step...