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» Learning Classifiers from Semantically Heterogeneous Data
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ICAPR
2009
Springer
14 years 4 months ago
Relevant and Redundant Feature Analysis with Ensemble Classification
— Feature selection and ensemble classification increase system efficiency and accuracy in machine learning, data mining and biomedical informatics. This research presents an ana...
Rakkrit Duangsoithong, Terry Windeatt
COLING
2002
13 years 10 months ago
Fine Grained Classification of Named Entities
While Named Entity extraction is useful in many natural language applications, the coarse categories that most NE extractors work with prove insufficient for complex applications ...
Michael Fleischman, Eduard H. Hovy
APVIS
2008
13 years 11 months ago
MobiVis: A Visualization System for Exploring Mobile Data
The widespread use of mobile devices brings opportunities to capture large-scale, continuous information about human behavior. Mobile data has tremendous value, leading to busines...
Zeqian Shen, Kwan-Liu Ma
GISCIENCE
2008
Springer
154views GIS» more  GISCIENCE 2008»
13 years 11 months ago
Ontology-Based Geospatial Data Query and Integration
Geospatial data sharing is an increasingly important subject as large amount of data is produced by variety of sources, stored in incompatible formats, and accessible through diffe...
Tian Zhao, Chuanrong Zhang, Mingzhen Wei, Zhong-Re...
CIKM
2005
Springer
14 years 3 months ago
Information retrieval and machine learning for probabilistic schema matching
Schema matching is the problem of finding correspondences (mapping rules, e.g. logical formulae) between heterogeneous schemas e.g. in the data exchange domain, or for distribute...
Henrik Nottelmann, Umberto Straccia