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» Graph Mining based on a Data Partitioning Approach
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IEE
2008
108views more  IEE 2008»
15 years 22 days ago
Mining execution relations for crosscutting concerns
Aspect mining tries to identify crosscutting concerns in the code of existing systems and thus supports their adaption to an aspect-oriented design. A semi-automatic static aspect...
Jens Krinke
135
Voted
PRIS
2004
15 years 2 months ago
Comparison of Combination Methods using Spectral Clustering Ensembles
We address the problem of the combination of multiple data partitions, that we call a clustering ensemble. We use a recent clustering approach, known as Spectral Clustering, and th...
André Lourenço, Ana L. N. Fred
109
Voted
KDD
1998
ACM
131views Data Mining» more  KDD 1998»
15 years 4 months ago
Interestingness-Based Interval Merger for Numeric Association Rules
We present an algorithm for mining association rules from relational tables containing numeric and categorical attributes. The approach is to merge adjacent intervals of numeric v...
Ke Wang, Soon Hock William Tay, Bing Liu
121
Voted
ECMDAFA
2009
Springer
138views Hardware» more  ECMDAFA 2009»
15 years 7 months ago
A Pattern Mining Approach Using QVT
Model Driven Software Development (MDSD) has matured over the last few years and is now becoming an established technology. Models are used in various contexts, where the possibili...
Jens Kübler, Thomas Goldschmidt
ICDM
2005
IEEE
151views Data Mining» more  ICDM 2005»
15 years 6 months ago
A Framework for Semi-Supervised Learning Based on Subjective and Objective Clustering Criteria
In this paper, we propose a semi-supervised framework for learning a weighted Euclidean subspace, where the best clustering can be achieved. Our approach capitalizes on user-const...
Maria Halkidi, Dimitrios Gunopulos, Nitin Kumar, M...