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» Phenomenal Data Mining: From Data to Phenomena
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KDD
2004
ACM
209views Data Mining» more  KDD 2004»
16 years 2 months ago
Tracking dynamics of topic trends using a finite mixture model
In a wide range of business areas dealing with text data streams, including CRM, knowledge management, and Web monitoring services, it is an important issue to discover topic tren...
Satoshi Morinaga, Kenji Yamanishi
WSDM
2010
ACM
254views Data Mining» more  WSDM 2010»
15 years 11 months ago
Learning Influence Probabilities In Social Networks
Recently, there has been tremendous interest in the phenomenon of influence propagation in social networks. The studies in this area assume they have as input to their problems a ...
Amit Goyal 0002, Francesco Bonchi, Laks V. S. Laks...
114
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PKDD
2009
Springer
148views Data Mining» more  PKDD 2009»
15 years 8 months ago
Feature Selection by Transfer Learning with Linear Regularized Models
Abstract. This paper presents a novel feature selection method for classification of high dimensional data, such as those produced by microarrays. It includes a partial supervisio...
Thibault Helleputte, Pierre Dupont
GFKL
2007
Springer
123views Data Mining» more  GFKL 2007»
15 years 8 months ago
Projecting Dialect Distances to Geography: Bootstrap Clustering vs. Noisy Clustering
Abstract. Dialectometry produces aggregate distance matrices in which a distance is specified for each pair of sites. By projecting groups obtained by clustering onto geography on...
John Nerbonne, Peter Kleiweg, Wilbert Heeringa, Fr...
OTM
2007
Springer
15 years 8 months ago
Discovering Executable Semantic Mappings Between Ontologies
Creating executable semantic mappings is an important task for ontology-based information integration. Although it is argued that mapping tools may require interaction from humans ...
Han Qin, Dejing Dou, Paea LePendu