An integrated intelligent system for estimating and updating a large-size matrix

This paper presents an integrated intelligent system being capable of automatically estimating and updating a large-size matrix. In the theoretical economics, the input-output model of economics uses a matrix representation of a nation´s (or a region´s) economy to predict the effect of changes in one industry on others and by consumers, government, and foreign suppliers on the economy. The system in this paper aims to estimate the large-size input-output model and consists of a series of components with the purposes of data retrieval, data integration, data analysis, and quality checking. This unique system is able to interpret and follow users´ XML-based query scripts, retrieve data from various sources and integrate them for the following data mining components. The data mining component is based on a unique modelling algorithm which constructs the matrix from the historical data and the spatial data simultaneously. This unique data analysis algorithm runs over the parallel computer to enable the system to estimate a matrix of the size up to 3700-by-3700. The result demonstrates the acceptable accuracy by comparing a part of the multipliers with the corresponding multipliers calculated by the matrix constructed by the surveys.