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SSD
1999
Springer
116views Database» more  SSD 1999»
13 years 9 months ago
Generalizing Graphs Using Amalgamation and Selection
This work is a contribution to the developing literature on multi-resolution data models. It considers operations for model-oriented generalization in the case where the underlying...
John G. Stell, Michael F. Worboys
GG
2010
Springer
13 years 6 months ago
Multi-Amalgamation in Adhesive Categories
Abstract. Amalgamation is a well-known concept for graph transformations in order to model synchronized parallelism of rules with shared subrules and corresponding transformations....
Ulrike Golas, Hartmut Ehrig, Annegret Habel
VAMOS
2007
Springer
13 years 11 months ago
Using Goal-Models to Analyze Variability
On our ongoing research on variability analysis, two major drawbacks have been identified: a) the lack of an effective tracing from the rationale to the selected variant, and b) t...
Bruno González-Baixauli, Miguel A. Laguna, ...
IWPC
2003
IEEE
13 years 10 months ago
Generalized Selective XML Markup of Source Code Using Agile Parsing
Increasingly focus in the software comprehension community is shifting from representing the results of analysis in the graph and database domain to reflecting insights directly i...
James R. Cordy
KDD
2010
ACM
197views Data Mining» more  KDD 2010»
13 years 2 months ago
Semi-supervised feature selection for graph classification
The problem of graph classification has attracted great interest in the last decade. Current research on graph classification assumes the existence of large amounts of labeled tra...
Xiangnan Kong, Philip S. Yu