A Hierarchical Data Mining Process Ontology

A Hierarchical Data Mining Process Ontology

Aiming to the problem of data mining processes building, we present a hierarchical data mining process ontology. The ontology is constructed based on CRISP-DM framework. Four layers of data mining process are described to solve the complexity of process synthesis. The ontology supports the managemen...

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Bibliographic Details
Main Authors: Man Tianxing, Nataly Zhukova, Myo Myint, Wang Guan, Mustafin Gabdrakhmanovich
Format: Article
Language:English
Published: FRUCT 2021-01-01
Series:Proceedings of the XXth Conference of Open Innovations Association FRUCT
Subjects:
ontology
data mining
semantic meta mining
hierarchical process
Online Access:https://www.fruct.org/publications/fruct28/files/Tia.pdf
Description
Summary:Aiming to the problem of data mining processes building, we present a hierarchical data mining process ontology. The ontology is constructed based on CRISP-DM framework. Four layers of data mining process are described to solve the complexity of process synthesis. The ontology supports the management of DM processes, which assumes defining steps of the processes and selecting algorithms taking into account the input and the output data. An example of querying on the proposed ontology is presented.
ISSN:2305-7254
2343-0737

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