Ontological Data Mining

We propose the ontological approach to Data Mining that is based on: (1) the analysis of subject domain ontology, (2) information in data that are interpretable in terms of ontology, and (3) interpretability of Data Mining methods and their results in ontology. Respectively concepts of Data Ontology...

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Bibliographic Details
Published inUncertainty Modeling Vol. 683; pp. 277 - 292
Main Authors Vityaev, Evgenii, Kovalerchuk, Boris
Format Book Chapter
LanguageEnglish
Published Switzerland Springer International Publishing AG 01.01.2017
Springer International Publishing
SeriesStudies in Computational Intelligence
Subjects
Data Mining Method
Financial Forecast
Hypothesis Class
Measurement Theory
Subject Domain
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Summary:We propose the ontological approach to Data Mining that is based on: (1) the analysis of subject domain ontology, (2) information in data that are interpretable in terms of ontology, and (3) interpretability of Data Mining methods and their results in ontology. Respectively concepts of Data Ontology and Data Mining Method Ontology are introduced. These concepts lead us to a new Data Mining approach—Ontological Data Mining (ODM). ODM uses the information extracted from data which is interpretable in the subject domain ontology instead of raw data. Next we present the theoretical and practical advantages of this approach and the Discovery system that implements this approach. The value of ODM is demonstrated by solutions of the tasks from the areas of financial forecasting, bioinformatics and medicine.
ISBN:3319510517
9783319510514
ISSN:1860-949X
1860-9503
DOI:10.1007/978-3-319-51052-1_17