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ICDIM
2008
IEEE
13 years 12 months ago
A geo-temporal Web gazetteer integrating data from multiple sources
This paper presents a geo-temporal gazetteer Web service that provides access to names of places and historical periods, together with the associated geotemporal information. With...
Hugo Manguinhas, Bruno Martins, José Luis B...
SDM
2012
SIAM
252views Data Mining» more  SDM 2012»
11 years 8 months ago
Learning from Heterogeneous Sources via Gradient Boosting Consensus
Multiple data sources containing different types of features may be available for a given task. For instance, users’ profiles can be used to build recommendation systems. In a...
Xiaoxiao Shi, Jean-François Paiement, David...
SDM
2012
SIAM
307views Data Mining» more  SDM 2012»
11 years 8 months ago
Pseudo Cold Start Link Prediction with Multiple Sources in Social Networks
Link prediction is an important task in social networks and data mining for understanding the mechanisms by which the social networks form and evolve. In most link prediction rese...
Liang Ge, Aidong Zhang
KDD
2004
ACM
164views Data Mining» more  KDD 2004»
14 years 6 months ago
Ordering patterns by combining opinions from multiple sources
Pattern ordering is an important task in data mining because the number of patterns extracted by standard data mining algorithms often exceeds our capacity to manually analyze the...
Pang-Ning Tan, Rong Jin
PRIB
2009
Springer
209views Bioinformatics» more  PRIB 2009»
14 years 2 days ago
Class Prediction from Disparate Biological Data Sources Using an Iterative Multi-Kernel Algorithm
For many biomedical modelling tasks a number of different types of data may influence predictions made by the model. An established approach to pursuing supervised learning with ...
Yiming Ying, Colin Campbell, Theodoros Damoulas, M...