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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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 |
work_keys_str_mv |
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