Determination of the estimated cost based on aggregated unit prices using information modeling (BIM) and text mining technologies

Abstract

This article discusses a method for determining the cost of a construction project based on aggregated unit prices based on information modelling and text mining. The features of estimating the cost of investment projects at the pre-project station are indicated, such as high uncertainty of technological and cost parameters, as well as the advantages and prerequisites for the transition to pricing in the system of consolidated unit prices are shown. The authors consider several existing text analysis methodologies and their goals, as well as the algorithms used. The most frequently used tools for solving various Data Mining tasks in research are identified, and the sequence of actions for modeling the estimated cost at aggregated unit prices using information modeling and text mining technologies is also given, since this method provides undeniable advantages in comparison with classical methods.