standards > terminology artifact > DOI:10.25504/FAIRsharing.s7ryc2


ready Ontology for Data Mining Investigations

Abbreviation: OntoDM-KDD


General Information
OntoDM-KDD is an ontology for representing data mining investigations. Its goal is to allow the representation of knowledge discovery processes and be general enough to represent the data mining investigations. The ontology is based on the CRISP-DM process methodology.



How to cite this record FAIRsharing.org: OntoDM-KDD; Ontology for Data Mining Investigations; DOI: https://doi.org/10.25504/FAIRsharing.s7ryc2; Last edited: Feb. 22, 2018, 2:07 p.m.; Last accessed: Nov 14 2018 2:15 p.m.


This record is maintained by panovp  ORCID

Record updated: May 3, 2017, 2:53 p.m. by The FAIRsharing Team.




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OntoDM-KDD: Ontology for Representing the Knowledge Discovery Process

Panče PanovAffiliated with Jožef Stefan Institute , Larisa Soldatova, Sašo Džeroski
Lecture Notes in Computer Science

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