Solving a complex problem in information technology
To solve a complex problem it takes a very long time for an inventor, because sometimes it is difficult to sort through thousands of solutions to his problem. Goal of the research is to help a person who knows the methods of solving complex problems, solve them for the fastest possible time. The objective of the study was to: forecast the prices for real estate on the basis of Sberbank data. A selection of data on the characteristics of houses in different cities and regions was given, and methods of machine learning were used to solve this problem, as well as methods of TRIZ (Theory of Inventive Problem Solving) of G. Altshuller's contradiction solution system. The main result of the research is the employment of the authors of the articles 87th place in the accuracy of the forecasts in the rating among the 1161 participants in the competition, in the period of three days, given that the person is not a professional in the field of data analysis. If a person does not want to lose a lot of time solving a «complex problem», then he should use the methods of accelerated solution of «complex problems» described in this article.