Application of a Data Mining approach to the processing of telemetric signals

The present paper deals with the implementation of intellectual technologies, which allow us to extract new knowledge from raw data by means of segmentation, clustering, classification and other Data Mining approaches with the purpose of analyzing the functioning of different complex dynamic objects...

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Veröffentlicht in:	Pattern recognition and image analysis 2011-12, Vol.21 (4), p.720-730
Hauptverfasser:	Klionsky, D. M., Oreshko, N. I., Geppener, V. V.
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Application Problems Classification Cluster analysis Clustering Computer Science Contamination Data mining Data processing Datasets Dynamic tests Dynamics Image analysis Image Processing and Computer Vision Knowledge Ontology Pattern Recognition Segmentation Studies Wavelet transforms
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Beschreibung
Zusammenfassung:	The present paper deals with the implementation of intellectual technologies, which allow us to extract new knowledge from raw data by means of segmentation, clustering, classification and other Data Mining approaches with the purpose of analyzing the functioning of different complex dynamic objects in the presence of contaminating noise, outliers, and missing values.
ISSN:	1054-6618 1555-6212
DOI:	10.1134/S1054661811040092