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Hybridization of FLR and FCM provides a decision support system (DSS) for utilization of historical data to predict housing market fluctuation in the future and identify the influence of the other parameters.
Similar(59)
A couple hundred observations of historical data.
Providing large volumes of historical data requires vast computing power.
Loss of historical data.
Anticipated demand of historical data.
Considering one year of historical data, 365 objects are obtained.
Of course, the more years of historical data the better.
1) Cost of historical data 2) Cost of interpreting historical data 3) Processing power restrictions.
(b) Methods for incorporation of historical data.
Many modeling methods require large amounts of historical data.
The same dearth of historical data complicates evaluation.
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CEO of Professional Science Editing for Scientists @ prosciediting.com