Proceedings of the XXth Conference of Open Innovations Association FRUCT (Jan 2021)

A Hierarchical Data Mining Process Ontology

  • Man Tianxing,
  • Nataly Zhukova,
  • Myo Myint,
  • Wang Guan,
  • Mustafin Gabdrakhmanovich

DOI
https://doi.org/10.23919/FRUCT50888.2021.9347590
Journal volume & issue
Vol. 28, no. 1
pp. 465 – 471

Abstract

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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.

Keywords