Transforming property data into sufficiently sized, relatively homogeneous data segments for configuring automated modeling systems

Abstract

Embodiments are described for transforming data relatively homogeneous data segments for training or otherwise configuring automated modeling systems. For example, a computing system selects, from standardized data, geographic data objects associated with a completed transaction value greater than the threshold number. The computing system clusters these geographic data objects and combines completed transactions associated with the selected geographic data objects into segments. The computing system performs a similarity analysis for pairs of the geographic data objects by comparing numerically valued attributes of the geographic data objects. The computing system also selects, from the standardized data, remaining completed transactions that are not grouped into segments and combines, based on the similarity analysis and the threshold number, these property transactions into segments such that each completed transaction has been assigned to one or more of the relatively homogeneous segments. The computing system trains an automated modeling algorithm with the relatively homogeneous segments.