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Regression-based classification methods and their comparison with decision tree algorithms

Classification learning can be considered as a regression problem with dependent variable consisting of 0s and 1s. Reducing classification to the problem of finding numerical dependencies we gain an opportunity to utilize powerful regression methods implemented in the PolyAnalyst data mining system. Resulting regression functions can be considered as fuzzy membership indicators for a recognized class. In order to obtain classifying rules, the optimum threshold values which minimize the number…
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PolyAnalyst data analysis technique and its specialization for processing data organized as a set of attribute values

Abstract: The data analysis techniques of the PolyAnalyst data mining system are based on the automated synthesis of functional programs treated as the multi-dimensional non-linear regression models. This approach provides the system with two valuable properties: 1) it can discover in data the hidden relations that might be of a great variety of forms, 2) it can explore arbitrarily complexly structured data if the corresponding data access primitives are provided.…
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Professor Meshalkin from the Central Institute of Mathematics in Economy in Moscow, Russia discusses using PolyAnalyst for market analysis

For many years various problems of analysis of financial markets are used as testing grounds for most advanced new technologies of Artificial Intelligence. Interest in such applications of Artificial Intelligence is kept hot by both, developers of Artificial Intelligence systems as well as potential users of these systems: financial organizations and individual investors, operating in securities markets. Their reasoning are the following. On one hand, forecast of dynamics of a…
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