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PKDD
2009
Springer
134views Data Mining» more  PKDD 2009»
14 years 2 months ago
Mining Graph Evolution Rules
In this paper we introduce graph-evolution rules, a novel type of frequency-based pattern that describe the evolution of large networks over time, at a local level. Given a sequenc...
Michele Berlingerio, Francesco Bonchi, Björn ...
ICDE
2003
IEEE
146views Database» more  ICDE 2003»
14 years 9 months ago
Generalized Closed Itemsets for Association Rule Mining
The output of boolean association rule mining algorithms is often too large for manual examination. For dense datasets, it is often impractical to even generate all frequent items...
Vikram Pudi, Jayant R. Haritsa
SIGIR
2006
ACM
14 years 1 months ago
Large scale semi-supervised linear SVMs
Large scale learning is often realistic only in a semi-supervised setting where a small set of labeled examples is available together with a large collection of unlabeled data. In...
Vikas Sindhwani, S. Sathiya Keerthi
PKDD
1998
Springer
273views Data Mining» more  PKDD 1998»
13 years 12 months ago
TextVis: An Integrated Visual Environment for Text Mining
TextVis is a visual data mining system for document collections. Such a collection represents an application domain, and the primary goal of the system is to derive patterns that p...
David Landau, Ronen Feldman, Yonatan Aumann, Moshe...
ER
2008
Springer
108views Database» more  ER 2008»
13 years 9 months ago
Automatic Extraction of Structurally Coherent Mini-Taxonomies
In this paper we demonstrate an automatic approach for emergent semantics modeling of ontologies. We follow the collaborative ontology construction method without the direct intera...
Khalid Saleem, Zohra Bellahsene