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» Introduction to Data Mining and Knowledge Discovery
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CLUSTER
2005
IEEE
14 years 1 months ago
A pipelined data-parallel algorithm for ILP
The amount of data collected and stored in databases is growing considerably for almost all areas of human activity. Processing this amount of data is very expensive, both humanly...
Nuno A. Fonseca, Fernando M. A. Silva, Víto...
AVI
2010
13 years 8 months ago
Advanced visual analytics interfaces
Advanced visual interfaces, like the ones found in informaualization, intend to offer a view on abstract data spaces to enable users to make sense of them. By mapping data to visu...
Daniel A. Keim, Peter Bak, Enrico Bertini, Daniela...
ISMDA
2005
Springer
14 years 27 days ago
The Ontological Lens: Zooming in and out from Genomic to Clinical Level
Abstract. Ontology is the talk of the day in the medical informatics comm.unity. Its relevant role in the design and implementation of information systems in health care is now wid...
Domenico M. Pisanelli, Francesco Pinciroli, Marco ...
KDD
2009
ACM
193views Data Mining» more  KDD 2009»
14 years 2 months ago
Category detection using hierarchical mean shift
Many applications in surveillance, monitoring, scientific discovery, and data cleaning require the identification of anomalies. Although many methods have been developed to iden...
Pavan Vatturi, Weng-Keen Wong
AIIA
2005
Springer
14 years 28 days ago
Towards Fault-Tolerant Formal Concept Analysis
Given Boolean data sets which record properties of objects, Formal Concept Analysis is a well-known approach for knowledge discovery. Recent application domains, e.g., for very lar...
Ruggero G. Pensa, Jean-François Boulicaut