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» Hierarchical exploration of large multivariate data sets
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SDM
2004
SIAM
224views Data Mining» more  SDM 2004»
13 years 6 months ago
Hierarchical Clustering for Thematic Browsing and Summarization of Large Sets of Association Rules
In this paper we propose a method for grouping and summarizing large sets of association rules according to the items contained in each rule. We use hierarchical clustering to par...
Alípio Jorge
IV
2010
IEEE
214views Visualization» more  IV 2010»
13 years 3 months ago
The Network Lens: Interactive Exploration of Multivariate Networks Using Visual Filtering
—Networks are widely used in modeling relational data often comprised of thousands of nodes and edges. This kind of data alone implies a challenge for its visualization as it is ...
Ilir Jusufi, Yang Dingjie, Andreas Kerren
DEXAW
2010
IEEE
204views Database» more  DEXAW 2010»
13 years 6 months ago
Scalable Recursive Top-Down Hierarchical Clustering Approach with Implicit Model Selection for Textual Data Sets
Automatic generation of taxonomies can be useful for a wide area of applications. In our application scenario a topical hierarchy should be constructed reasonably fast from a large...
Markus Muhr, Vedran Sabol, Michael Granitzer
BMCBI
2010
277views more  BMCBI 2010»
13 years 5 months ago
PCA2GO: a new multivariate statistics based method to identify highly expressed GO-Terms
Background: Several tools have been developed to explore and search Gene Ontology (GO) databases allowing efficient GO enrichment analysis and GO tree visualization. Nevertheless,...
Marc Bruckskotten, Mario Looso, Franz Cemic, Anne ...
ISCAPDCS
2003
13 years 6 months ago
On the Scalable Computation of Large Sets of Integrals
We consider efficient strategies for the parallel and distributed computation of large sets of multivariate integrals. These arise in many applications such as computational chem...
Elise de Doncker, Ajay K. Gupta, Laurentiu Cucos