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» Graph Mining based on a Data Partitioning Approach
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94
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CORR
2006
Springer
127views Education» more  CORR 2006»
15 years 24 days ago
Post-Processing Hierarchical Community Structures: Quality Improvements and Multi-scale View
Dense sub-graphs of sparse graphs (communities), which appear in most real-world complex networks, play an important role in many contexts. Most existing community detection algori...
Pascal Pons
EGITALY
2006
15 years 2 months ago
3D Data Segmentation Using a Non-Parametric Density Estimation Approach
In this paper, a new segmentation approach for sets of 3D unorganized points is proposed. The method is based on a clustering procedure that separates the modes of a non-parametri...
Umberto Castellani, Marco Cristani, Vittorio Murin...
124
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ICDM
2003
IEEE
101views Data Mining» more  ICDM 2003»
15 years 6 months ago
Interactive Visualization and Navigation in Large Data Collections using the Hyperbolic Space
We propose the combination of two recently introduced methods for the interactive visual data mining of large collections of data. Both, Hyperbolic Multi-Dimensional Scaling (HMDS...
Jörg A. Walter, Jörg Ontrup, Daniel Wess...
78
Voted
PKDD
1998
Springer
96views Data Mining» more  PKDD 1998»
15 years 5 months ago
Knowledge Discovery with Qualitative Influences and Synergies
We review some approaches to qualitative uncertainty and propose a new one based on the idea of Absolute Order of Magnitude. We show that our ideas can be useful for Knowledge Disc...
Jesús Cerquides, Ramon López de M&aa...
109
Voted
PKDD
2004
Springer
131views Data Mining» more  PKDD 2004»
15 years 6 months ago
Asynchronous and Anticipatory Filter-Stream Based Parallel Algorithm for Frequent Itemset Mining
Abstract In this paper we propose a novel parallel algorithm for frequent itemset mining. The algorithm is based on the filter-stream programming model, in which the frequent item...
Adriano Veloso, Wagner Meira Jr., Renato Ferreira,...