May 25, 2019 · This paper presents RVO- the Research Variable Ontology, designed to capture knowledge around empirical data analytics process and support ...
RVO, Research Variable Ontology, proposes a schema enterprise can use to record their data analytics experiments and use as a knowledgebase for learning and ...
Mar 21, 2019 · Acronym, RVO. Visibility, Public. Description, RVO, Research Variable Ontology, proposes a schema that can be use to record empirical data ...
This research focuses on building a predictive analytics model, specifically logistic regression, given a historical dataset. The model, developed using six ...
RVO is specialised to support researchers with exploratory and predictive analytics problems, popularly practiced in economics and social science domains. We ...
RVO, Research Variable Ontology, proposes a schema enterprise can use to record their data analytics experiments and use as a knowledgebase for learning and ...
To support enterprise-level data analytics research, this paper presents Research Variable Ontology (RVO), an ontology designed to catalogue and explore ...
People also ask
What are the methods of ontology?
Why is ontology important?
Literature Survey - 82 Studies04:55. Research Variable Ontology (RVO)07:35. Objectives of RVO07:58. RVO Development Process08:44. RVO Development Process - 210: ...
Research Variable Ontology ; Definitions. Dataset refers to the data file provided by a data source which contain the data for one or multiple measures. ; ID.
The research variable ontology is being developed by the FinanceIT team at UNSW as part of several research projects. For more details about the team ...