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» Theoretical Frameworks for Data Mining
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SDM
2009
SIAM
215views Data Mining» more  SDM 2009»
15 years 7 months ago
Hybrid Clustering of Text Mining and Bibliometrics Applied to Journal Sets.
To obtain correlated and complementary information contained in text mining and bibliometrics, hybrid clustering to incorporate textual content and citation information has become...
Bart De Moor, Frizo A. L. Janssens, Shi Yu, Wolfga...
IADIS
2008
14 years 11 months ago
Towards Mining for Influence in a Multi Agent Environment
Multi agent learning systems pose an interesting set of problems: in large environments agents may develop localised behaviour patterns that are not necessarily optimal; in a pure...
Robert Logie, Jon G. Hall, Kevin G. Waugh
KDD
1998
ACM
160views Data Mining» more  KDD 1998»
15 years 2 months ago
Algorithms for Characterization and Trend Detection in Spatial Databases
1 The number and the size of spatial databases, e.g. for geomarketing, traffic control or environmental studies, are rapidly growing which results in an increasing need for spatial...
Martin Ester, Alexander Frommelt, Hans-Peter Krieg...
AIIA
2005
Springer
15 years 3 months ago
Mining Relational Association Rules for Propositional Classification
In traditional classification setting, training data are represented as a single table, where each row corresponds to an example and each column to a predictor variable or the targ...
Annalisa Appice, Michelangelo Ceci, Donato Malerba
SDM
2010
SIAM
195views Data Mining» more  SDM 2010»
14 years 11 months ago
MACH: Fast Randomized Tensor Decompositions
Tensors naturally model many real world processes which generate multi-aspect data. Such processes appear in many different research disciplines, e.g, chemometrics, computer visio...
Charalampos E. Tsourakakis