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Effectiveness of mini-models method when data modelling within a 2D-space in an information deficiency situation

Pietrzykowski M.

Journal of Theoretical and Applied Computer Science

2012

Vol. 6, nr 3

21-27

This paper examines mini-models method and its effectiveness when data modelling in an information deficiency situation. It also compares the effectiveness of mini-models with various methods of modelling such as neural networks, the KNN-method and polynomials. The algorithm concentrates only on local query data and does not construct a global model during the learning process when it is not necessary. It is characterized by a high efficacy and a short calculation time. The article briefly describes the method by means of four variants: linear heuristic, nonlinear heuristic, mini-models based on linear regression, and minimodels based on polynomial approximation. The paper presents the results of experiments that compare the effectiveness of mini-models with selected methods of modelling in an information deficiency situation.