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» Classes and clusters in data analysis
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MLDM
2009
Springer
15 years 11 months ago
Assisting Data Mining through Automated Planning
The induction of knowledge from a data set relies in the execution of multiple data mining actions: to apply filters to clean and select the data, to train different algorithms (...
Fernando Fernández, Daniel Borrajo, Susana ...
OTM
2009
Springer
16 years 1 months ago
LinksB2N: Automatic Data Integration for the Semantic Web
Abstract. The ongoing trend towards open data embraced by the Semantic Web has started to produce a large number of data sources. These data sources are published using RDF vocabul...
Manuel Salvadores, Gianluca Correndo, Bene Rodrigu...
CIKM
2000
Springer
15 years 11 months ago
Vector Approximation based Indexing for Non-uniform High Dimensional Data Sets
With the proliferation of multimedia data, there is increasing need to support the indexing and searching of high dimensional data. Recently, a vector approximation based techniqu...
Hakan Ferhatosmanoglu, Ertem Tuncel, Divyakant Agr...
AUSDM
2007
Springer
140views Data Mining» more  AUSDM 2007»
16 years 26 days ago
The application of data mining techniques to characterize agricultural soil profiles
The advances in computing and information storage have provided vast amounts of data. The challenge has been to extract knowledge from this raw data; this has lead to new methods ...
Leisa Armstrong, Dean Diepeveen, Rowan Maddern
ICTAC
2005
Springer
16 years 5 days ago
Covarieties of Coalgebras: Comonads and Coequations
Coalgebras provide effective models of data structures and state-transition systems. A virtual covariety is a class of coalgebras closed under coproducts, images of coalgebraic mo...
Ranald Clouston, Robert Goldblatt