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ATAL
2007
Springer
14 years 4 months ago
A framework for agent-based distributed machine learning and data mining
This paper proposes a framework for agent-based distributed machine learning and data mining based on (i) the exchange of meta-level descriptions of individual learning processes ...
Jan Tozicka, Michael Rovatsos, Michal Pechoucek
DOLAP
2006
ACM
14 years 4 months ago
HYPE: mining hierarchical sequential patterns
Mining data warehouses is still an open problem as few approaches really take the specificities of this framework into account (e.g. multidimensionality, hierarchies, historized ...
Marc Plantevit, Anne Laurent, Maguelonne Teisseire
DEXAW
2005
IEEE
142views Database» more  DEXAW 2005»
14 years 3 months ago
Competitive Advantage from Data Mining: Some Lessons Learnt in the Information Systems Field
Data mining (DM) is still a technology having great expectations to enable organizations to take more benefit of their huge databases. There exist some success stories where organ...
Mykola Pechenizkiy, Seppo Puuronen, Alexey Tsymbal
COSIT
2003
Springer
145views GIS» more  COSIT 2003»
14 years 3 months ago
Extracting Landmarks with Data Mining Methods
Abstract. The navigation task is a very demanding application for mobile users. The algorithms of present software solutions are based on the established methods of car navigation ...
Birgit Elias
GECCO
2010
Springer
189views Optimization» more  GECCO 2010»
14 years 2 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...