Paper
11 September 2015 Fast algorithm for feature extraction
Grzegorz Borowik, Jan Jankowski, Karol Kowalski
Author Affiliations +
Proceedings Volume 9662, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2015; 96623T (2015) https://doi.org/10.1117/12.2205909
Event: XXXVI Symposium on Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments (Wilga 2015), 2015, Wilga, Poland
Abstract
A number of methods for data reduction have already been proposed in the literature. However, these methods, particularly those based on discernibility matrices, are insufficient for large databases and thus Big Data processing. The purpose of this paper is the introduction of a new efficient feature extraction algorithm that is based on statistics of attribute values. Tests have shown that the implementation is much more efficient than currently available solutions.
© (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Grzegorz Borowik, Jan Jankowski, and Karol Kowalski "Fast algorithm for feature extraction", Proc. SPIE 9662, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2015, 96623T (11 September 2015); https://doi.org/10.1117/12.2205909
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CITATIONS
Cited by 6 scholarly publications.
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KEYWORDS
Feature extraction

Databases

Data mining

FDA class I medical device development

Data processing

Genetic algorithms

Logic

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