Ontology of the data mining subject domain

We consider the subject domain related to discovering of regularities in arrays of statistical or experimental data and applications of these regularities to solving problems of recognition, prediction, clustering, etc. Ontology describes methods for pre-and post-processing, which are specific for e...

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Bibliographic Details
Published in:Pattern recognition and image analysis 2007-09, Vol.17 (3), p.349-356
Main Authors: Zagoruiko, N. G., Gulyaevskii, S. E., Kovalerchuk, B. Ya
Format: Article
Language:English
Subjects:
Arrays
Clustering
Data mining
Image analysis
Ontology
Pattern recognition
Post-processing
Recognition
Regularity
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Summary:We consider the subject domain related to discovering of regularities in arrays of statistical or experimental data and applications of these regularities to solving problems of recognition, prediction, clustering, etc. Ontology describes methods for pre-and post-processing, which are specific for each kind of initial information, and processing methods universal for all kinds of information.[PUBLICATION ABSTRACT]
ISSN:1054-6618
1555-6212
DOI:10.1134/S1054661807030017