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» Using Formal Ontology for Integrated Spatial Data Mining
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PKDD
2004
Springer
141views Data Mining» more  PKDD 2004»
15 years 2 months ago
Spatial Associative Classification at Different Levels of Granularity: A Probabilistic Approach
In this paper we propose a novel spatial associative classifier method based on a multi-relational approach that takes spatial relations into account. Classification is driven by s...
Michelangelo Ceci, Annalisa Appice, Donato Malerba
80
Voted
KDD
2009
ACM
152views Data Mining» more  KDD 2009»
15 years 10 months ago
A multi-relational approach to spatial classification
Spatial classification is the task of learning models to predict class labels based on the features of entities as well as the spatial relationships to other entities and their fe...
Richard Frank, Martin Ester, Arno Knobbe
KAIS
2006
95views more  KAIS 2006»
14 years 9 months ago
Discovering mappings in hierarchical data from multiple sources using the inherent structure
Unprecedented amounts of media data are publicly accessible. However, it is increasingly difficult to integrate relevant media from multiple and diverse sources for effective appli...
K. Selçuk Candan, Jong Wook Kim, Huan Liu, ...
VR
2008
IEEE
163views Virtual Reality» more  VR 2008»
14 years 9 months ago
Integrating Gyroscopes into Ubiquitous Tracking Environments
It is widely recognized that inertial sensors, in particular gyroscopes, can improve the latency and accuracy of orientation tracking by fusing the inertial measurements with data...
Daniel Pustka, Manuel Huber, Gudrun Klinker
GISCIENCE
2008
Springer
154views GIS» more  GISCIENCE 2008»
14 years 10 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...