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The OntoDM ontology - Ontology of Data Mining

We propose a reference modular ontology for the domain of data mining OntoDM, directly motivated by the need for formalization of the data mining domain. The OntoDM ontology is designed and implemented by following ontology best practices and design principles. Its distinguishing feature is that it uses Basic Formal Ontology (BFO). The Information Artifact Ontology (IAO). And the Software Ontology (SWO). The OntoDM ontology is composed of three sub-ontologies covering different aspects of data mining:.

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The OntoDM ontology - Ontology of Data Mining | ontodm.com Reviews
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We propose a reference modular ontology for the domain of data mining OntoDM, directly motivated by the need for formalization of the data mining domain. The OntoDM ontology is designed and implemented by following ontology best practices and design principles. Its distinguishing feature is that it uses Basic Formal Ontology (BFO). The Information Artifact Ontology (IAO). And the Software Ontology (SWO). The OntoDM ontology is composed of three sub-ontologies covering different aspects of data mining:.
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The OntoDM ontology - Ontology of Data Mining | ontodm.com Reviews

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We propose a reference modular ontology for the domain of data mining OntoDM, directly motivated by the need for formalization of the data mining domain. The OntoDM ontology is designed and implemented by following ontology best practices and design principles. Its distinguishing feature is that it uses Basic Formal Ontology (BFO). The Information Artifact Ontology (IAO). And the Software Ontology (SWO). The OntoDM ontology is composed of three sub-ontologies covering different aspects of data mining:.

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ComiRNet – The Database of Predicted miRNAs Regulatory Networks. ComiRNet is a database of miRNA target predictions and predicted miRNA regulatory networks. ComiRNet stores approximately 5 million predicted interactions between 934 human miRNAs and 30,875 gene transcripts (mRNAs) which are exploited in the construction of the hierarchies of overlapping biclusters representing potential miRNA regulatory networks. Clus: A Predictive Clustering System. Clus is a decision tree and rule induction system that ...

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The OntoDM ontology - Ontology of Data Mining

We propose a reference modular ontology for the domain of data mining OntoDM, directly motivated by the need for formalization of the data mining domain. The OntoDM ontology is designed and implemented by following ontology best practices and design principles. Its distinguishing feature is that it uses Basic Formal Ontology (BFO). The Information Artifact Ontology (IAO). And the Software Ontology (SWO). The OntoDM ontology is composed of three sub-ontologies covering different aspects of data mining:.

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