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FDR2-BD: A fast data reduction recommendation tool for tabular big data classification problems
(Molecular Diversity Preservation International, 2021-08)
In this paper, a methodological data condensation approach for reducing tabular big datasets in classification problems is presented, named FDR2-BD. The key of our proposal is to analyze data in a dual way (vertical and ...
A Reliable Method to Reduce Observations and Variables
(SABER ULA, 2006)
Data classification: Dimensionality reduction using combined and non-combined multidimensional projection techniques
(2018-12-13)
Dimensionality Reduction is a commonly used method to reduce the number of dimensions of data. In this work, we verified its influence in classification process using combinations of projection techniques as dimensionality ...
Processing time reduction: an application in living human high-resolution diffusion magnetic resonance imaging data.
High Angular Resolution Diffusion Imaging (HARDI) is a type of brain imaging that collects a very large amount of data, and if many subjects are considered then it amounts to a big data framework (e.g., the human connectome ...
LANGUAGE AND A PHYSICAL ORGANIZATION TECHNIQUE FOR SUMMARY TABLES.
(Proceedings of ACM-SIGMOD 1985 International Conference on Management of Data, 2004)
A summary table is a tabular representation of summary data, and is a useful data structure for statistical databases. Primitive summary tables are basic building blocks of summary tables, and can be represented as relations ...
A language and a physical organization technique for summary tables
(ACM SIGMOD Record, 1985-05-01)
A summary table IS a tabular representation of summary data, and is a useful data structure for statistical databases Priventive summary tables are basic building blocks of summmy tables, and can be represented as relations ...
Cinética de redução do catalisador CuO/ZnO/Al2O3
(2007)
The reduction kinetics of a CuO/ZnO/Al2O3 catalyst by hydrogen was investigated isothermally and by temperature programmed reduction (TPR). Two reducible Cu2+ species were detected; the first one was identified as CuO bulk ...
Contrastive analysis for scatterplot-based representations of dimensionality reduction
(2021-01-01)
Cluster interpretation after dimensionality reduction (DR) is a ubiquitous part of exploring multidimensional datasets. DR results are frequently represented by scatterplots, where spatial proximity encodes similarity among ...
Two-Phase Mapping for Projecting Massive Data Sets
(IEEE COMPUTER SOC, 2010)
Most multidimensional projection techniques rely on distance (dissimilarity) information between data instances to embed high-dimensional data into a visual space. When data are endowed with Cartesian coordinates, an extra ...