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» Graph Mining based on a Data Partitioning Approach
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BIBM
2007
IEEE
171views Bioinformatics» more  BIBM 2007»
15 years 7 months ago
GenMiner: Mining Informative Association Rules from Genomic Data
GENMINER is a smart adaptation of closed itemsets based association rules extraction to genomic data. It takes advantage of the novel NORDI discretization method and of the CLOSE ...
Ricardo Martínez, Claude Pasquier, Nicolas ...
GMP
2006
IEEE
248views Solid Modeling» more  GMP 2006»
15 years 6 months ago
Adaptive Fourier-Based Surface Reconstruction
In this paper, we propose to combine Kazhdan’s FFT-based approach to surface reconstruction from oriented points with adaptive subdivision and partition of unity blending techni...
Oliver Schall, Alexander G. Belyaev, Hans-Peter Se...
KDD
2006
ACM
164views Data Mining» more  KDD 2006»
16 years 1 months ago
Assessing data mining results via swap randomization
The problem of assessing the significance of data mining results on high-dimensional 0?1 data sets has been studied extensively in the literature. For problems such as mining freq...
Aristides Gionis, Heikki Mannila, Panayiotis Tsapa...
122
Voted
KDD
2010
ACM
326views Data Mining» more  KDD 2010»
14 years 10 months ago
Document clustering via dirichlet process mixture model with feature selection
One essential issue of document clustering is to estimate the appropriate number of clusters for a document collection to which documents should be partitioned. In this paper, we ...
Guan Yu, Ruizhang Huang, Zhaojun Wang
198
Voted
ICDE
1999
IEEE
183views Database» more  ICDE 1999»
16 years 2 months ago
ROCK: A Robust Clustering Algorithm for Categorical Attributes
Clustering, in data mining, is useful to discover distribution patterns in the underlying data. Clustering algorithms usually employ a distance metric based (e.g., euclidean) simi...
Sudipto Guha, Rajeev Rastogi, Kyuseok Shim