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Ontology of Data Mining Investigations
Last uploaded:
June 6, 2012
| Acronym | ONTODM-KDD |
| Visibility | Public |
| Description | 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. |
| Status | Production |
| Format | OWL |
| Contact | Pance Panov, pance.panov@ijs.si |
No views of ONTODM-KDD available
| Classes | 264 |
| Individuals | 0 |
| Properties | 34 |
| Maximum depth | 4 |
| Maximum number of children | 25 |
| Average number of children | 5 |
| Classes with a single child | 10 |
| Classes with more than 25 children | 1 |
| Classes with no definition | 204 |