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» Knowledge-Based Visualization to Support Spatial Data Mining
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JUCS
2010
179views more  JUCS 2010»
14 years 7 months ago
Ontology Visualization: Tools and Techniques for Visual Representation of Semi-Structured Meta-Data
: Ontologies are used to represent a variety of domain knowledge and data collections, scopes, viewpoints and linked heterogeneous information sources. They range from simple topol...
Monika Lanzenberger, Jennifer Sampson, Markus Rest...
IJCAI
2003
14 years 10 months ago
Gaussian Process Models of Spatial Aggregation Algorithms
Multi-level spatial aggregates are important for data mining in a variety of scientific and engineering applications, from analysis of weather data (aggregating temperature and p...
Naren Ramakrishnan, Christopher Bailey-Kellogg
DMKD
2004
ACM
127views Data Mining» more  DMKD 2004»
15 years 2 months ago
Discovering spatial patterns accurately with effective noise removal
Cluster analysis is a common approach to pattern discovery in spatial databases. While many clustering techniques have been developed, it is still challenging to discover implicit...
Yu Qian, Kang Zhang
110
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AFRIGRAPH
2004
ACM
15 years 2 months ago
Visualizing 3D scenes using non-linear projections and data mining of previous camera movements
We describe techniques for exploring 3D scenes by combining non-linear projections with the interactive data mining of camera navigations from previous explorations. Our approach ...
Karan Singh, Ravin Balakrishnan
VISUAL
2007
Springer
15 years 3 months ago
Potentialities of Chorems as Visual Summaries of Geographic Databases Contents
Chorems are schematized representations of territories, and so they can represent a good visual summary of spatial databases. Indeed for spatial decision-makers, it is more importa...
Vincenzo Del Fatto, Robert Laurini, Karla Lopez, R...