Medicaid Benefits Data Collection. This data collection reflects Medicaid benefits covered in each state, limitations applied to those benefits, cost-sharing charges, and the reimbursement methodologies used for those benefits as of October 1, 2012.
Data Rationalization is a Managed Meta Data Environment (MME) enabled application which creates/extends an ontology for a domain into the structured data world, based on model objects stored in various models (of varying levels of detail, across model files and modeling tools) and other meta data.
1 Data reduction: reducing the volume but producing the same or similar analytical results. 2  Data discretization: part of data reduction, replacing numerical attributes with nominal ones.ata reduction. 1  Reducing the number of attributes. 2  Data cube aggregation: applying roll-up, slice or dice operations. 3  Removing irrelevant attributes: attribute selection (filtering and wrapper methods), searching the attribute space (see Lecture 5: Attribute-oriented analysis).