Data Preprocessing Algorithm for Decision Support Software Systems

In the context of Developing Socially Oriented Solutions

Abstract

The problem of forecasting social project indicators is becoming increasingly acute in uncertain environment, such as during social unrest. Existing software solutions either provide limited functionality in such situations or require significant investments. The paper is devoted to developing the data preprocessing algorithm for the most popular forecasting approaches, which would allow users to consider not only instability in the economy and society, but also a possible information reaction to the product being created. The findings of this study affirm the efficacy of the proposed approach and pave the path for subsequent real-world project implementations.