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» Mining Billion-Node Graphs: Patterns, Generators and Tools
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KDD
2009
ACM
150views Data Mining» more  KDD 2009»
14 years 9 months ago
Large human communication networks: patterns and a utility-driven generator
Given a real, and weighted person-to-person network which changes over time, what can we say about the cliques that it contains? Do the incidents of communication, or weights on t...
Nan Du, Christos Faloutsos, Bai Wang, Leman Akoglu
EDBT
2009
ACM
138views Database» more  EDBT 2009»
14 years 3 months ago
FOGGER: an algorithm for graph generator discovery
To our best knowledge, all existing graph pattern mining algorithms can only mine either closed, maximal or the complete set of frequent subgraphs instead of graph generators whic...
Zhiping Zeng, Jianyong Wang, Jun Zhang, Lizhu Zhou
ENTCS
2006
162views more  ENTCS 2006»
13 years 8 months ago
Adaptive Graph Pattern Matching for Model Transformations using Model-sensitive Search Plans
The current paper makes two contributions for the graph pattern matching problem of model transformation tools. First, model-sensitive search plan generation is proposed for patte...
Gergely Varró, Katalin Friedl, Dánie...
DAWAK
2010
Springer
13 years 9 months ago
Frequent Sub-graph Mining on Edge Weighted Graphs
Frequent sub-graph mining entails two significant overheads. The first is concerned with candidate set generation. The second with isomorphism checking. These are also issues with ...
Chuntao Jiang, Frans Coenen, Michele Zito
DEXAW
2005
IEEE
133views Database» more  DEXAW 2005»
13 years 10 months ago
Inductive Databases: Towards a New Generation of Databases for Knowledge Discovery
Data mining applications are typically used in the decision making process. The Knowledge Discovery Process (KDD process for short) is a typical iterative process, in which not on...
Rosa Meo