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» Relational Methodology for Data Mining and Knowledge Discove...
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GIS
2008
ACM
16 years 27 days ago
Discovering controlling factors of geospatial variables
Efficient means of determining factors controlling spatial distribution of an environmental class variable are of significant interest in Earth science. In this paper, we present ...
Tomasz F. Stepinski, Wei Ding 0003, Christoph F. E...
ACISICIS
2009
IEEE
15 years 3 months ago
Temporal Pattern Recognition in Video Clips Detection
Temporal representation and reasoning plays an important role in Data Mining and Knowledge Discovery, particularly, in mining and recognizing patterns with rich temporal informati...
Aihua Zheng, Jixin Ma, Bin Luo, Miltos Petridis, S...
CIKM
2006
Springer
15 years 3 months ago
CP/CV: concept similarity mining without frequency information from domain describing taxonomies
Domain specific ontologies are heavily used in many applications. For instance, these form the bases on which similarity/dissimilarity between keywords are extracted for various k...
Jong Wook Kim, K. Selçuk Candan
INCDM
2001
Springer
109views Data Mining» more  INCDM 2001»
15 years 4 months ago
Experience Management: The Fraunhofer IESE Experience Factory
: Experience Management (EM) is an area that is increasingly gaining importance. Its roots lie in Experimental Software Engineering ("Experience Factory"), in Artificial ...
Klaus-Dieter Althoff, Björn Decker, Susanne H...
SDM
2009
SIAM
192views Data Mining» more  SDM 2009»
15 years 9 months ago
Mining Cohesive Patterns from Graphs with Feature Vectors.
The increasing availability of network data is creating a great potential for knowledge discovery from graph data. In many applications, feature vectors are given in addition to g...
Arash Rafiey, Flavia Moser, Martin Ester, Recep Co...