Arkady Borisov

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The implementation of modern neural network technology in the financial indexes modelling and forecasting task is given in this paper. The predicted value is Dow Jones Riga Stock Exchange index, which characterises Latvian stock market. Using Dow Jones RSE index time series a number of neural network learning experiments are completed, the best network is(More)
In the age of information technology intellectual property becomes especially valuable. This is one of the causes why the cases of the plagiarism appear more frequently in all vital sectors. Due to that, there is a growing need for different instruments for the protection and verification of copyright for finding plagiarism. Before checking the document for(More)
This paper presents some essential findings and results on using ranking-based kernels for the analysis and utilization of high dimensional and noisy biomedical data in applied clinical diagnostics. We claim that presented kernels combined with a state-of-the-art classification technique - a Support Vector Machine (SVM) - could significantly improve the(More)
This paper describes an ongoing effort in developing a Multiagent System (MAS) for supply chain management. In our framework, functional agents can join in, stay, or leave the system. The Supply Chain Management System (SCMS) functionality is implemented through agent-based negotiation. When an order arrives, a virtual supply chain may emerge from the(More)
A joint analysis of continuous (time series demand observations) and discrete (well-describing parameters) data is studied. Such data mining techniques as data collection, preprocessing, clustering analysis, and classification are considered. Upon continuous data preprocessing and clustering, images of possible sales development are constructed. A new(More)
In this paper the possibility of using adaptive networks in fuzzy-evidence-based decision support systems is considered. The architecture and learning algorithm underlying ANGIE (adaptive network for granular information processing) is presented. The proposed learning procedure helps in solving a task that can be related to sensitivity analysis in decision(More)
This paper investigates the behavior of the inductive algorithm CART2 applied to constructing a classifier using a modern DBMS and solving problems related to classifier incremental updating. As testing objects we used four databases taken from different knowledge domains. The results of the experiments demonstrate good performance for the incrementally(More)