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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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:
Online Access:https://www.fruct.org/publications/fruct28/files/Tia.pdf
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spelling doaj-5555028dbf6948ed918eb5a184b896782021-02-12T09:31:58ZengFRUCTProceedings of the XXth Conference of Open Innovations Association FRUCT2305-72542343-07372021-01-0128146547110.23919/FRUCT50888.2021.9347590A Hierarchical Data Mining Process OntologyMan Tianxing0Nataly Zhukova1Myo Myint2Wang Guan3Mustafin Gabdrakhmanovich4ITMOUniversity, RussiaSt. Petersburg Federal Research Center of the Russian Academy of Sciences, RussiaITMO University, RussiaITMO University, RussiaSt. Petersburg State Electrotechnical University LETI, RussiaAiming 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.https://www.fruct.org/publications/fruct28/files/Tia.pdfontologydata miningsemantic meta mininghierarchical process
collection DOAJ
language English
format Article
sources DOAJ
author Man Tianxing
Nataly Zhukova
Myo Myint
Wang Guan
Mustafin Gabdrakhmanovich
spellingShingle Man Tianxing
Nataly Zhukova
Myo Myint
Wang Guan
Mustafin Gabdrakhmanovich
A Hierarchical Data Mining Process Ontology
Proceedings of the XXth Conference of Open Innovations Association FRUCT
ontology
data mining
semantic meta mining
hierarchical process
author_facet Man Tianxing
Nataly Zhukova
Myo Myint
Wang Guan
Mustafin Gabdrakhmanovich
author_sort Man Tianxing
title A Hierarchical Data Mining Process Ontology
title_short A Hierarchical Data Mining Process Ontology
title_full A Hierarchical Data Mining Process Ontology
title_fullStr A Hierarchical Data Mining Process Ontology
title_full_unstemmed A Hierarchical Data Mining Process Ontology
title_sort hierarchical data mining process ontology
publisher FRUCT
series Proceedings of the XXth Conference of Open Innovations Association FRUCT
issn 2305-7254
2343-0737
publishDate 2021-01-01
description 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.
topic ontology
data mining
semantic meta mining
hierarchical process
url https://www.fruct.org/publications/fruct28/files/Tia.pdf
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AT mustafingabdrakhmanovich ahierarchicaldataminingprocessontology
AT mantianxing hierarchicaldataminingprocessontology
AT natalyzhukova hierarchicaldataminingprocessontology
AT myomyint hierarchicaldataminingprocessontology
AT wangguan hierarchicaldataminingprocessontology
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