Difference between revisions of "Data Model Integration (DMI)"
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| − | |definition= Data Model Integration, or DMI, is an automated, structured combination of model and data by means of mathematical techniques to create a theoretically optimal combination of both by reducing the associated uncertainties in the one, the other, or in the information provided by the combination. DMI techniques are being developed and used in many disciplines (see also Data Model Integration | + | |definition= Data Model Integration, or DMI, is an automated, structured combination of model and data by means of mathematical techniques to create a theoretically optimal combination of both by reducing the associated uncertainties in the one, the other, or in the information provided by the combination. DMI techniques are being developed and used in many disciplines (see also [[Use of models, Data Model Integration]]). |
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Revision as of 07:54, 5 June 2007
Definition of DMI:
Data Model Integration, or DMI, is an automated, structured combination of model and data by means of mathematical techniques to create a theoretically optimal combination of both by reducing the associated uncertainties in the one, the other, or in the information provided by the combination. DMI techniques are being developed and used in many disciplines (see also Use of models, Data Model Integration).
This is the common definition for DMI, other definitions can be discussed in the article
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